Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
We are seeking a seasoned, mission-driven Engagement Director to bring structure, visibility, and cross-functional leadership to how we deliver our services and products. We are looking for a leader who drives clarity and momentum across the company and can lead cross-functional delivery teams to ensure customer satisfaction, retention, and expansion.
Because all of Unlearn’s customers are biopharmaceutical companies, deep fluency in the pharma and clinical development is essential. You will partner closely with our Technology, Science, Product, Commercial, Marketing, and G&A teams.
This role reports directly to the Chief Commercial Officer and day-to-day will be the conduit between the delivery and commercial teams. The Engagement Director owns the customer relationship after contract signature. They translate sponsor priorities into terms the delivery team can act on, hold the account to its contracted commitments, and surface expansion opportunities for the commercial team to pursue.
Build a deep and trusting relationship with customers, serving as a point of contact for customer satisfaction, retention, and expansion.
Coordinate customer-facing timelines, milestones, and deliverables, ensuring internal delivery plans align with customer commitments.
Identify opportunities to expand and strengthen customer collaborations and communicate these internally so the business can improve.
Proactively identify risks, dependencies, and potential roadblocks in customer projects, and lead cross-team problem-solving workstreams to resolve them before they impact delivery.
Drive accountability and clear communication across the delivery teams, defining priorities and keeping customer projects on track.
Report progress on customer delivery, risks, and resource trade-offs to leadership on a regular cadence.
Track timelines, key milestones, interdependencies, and resource needs across customer engagements so leadership can plan resourcing and product delivery appropriately.
Stand up project management practices, cadences, and resource-planning tooling, creating a single source of truth for customer projects without heavyweight process overhead.
7+ years of experience delivering services or technology to clinical development groups at pharma or biotech sponsors: CRO, clinical tech vendor, or consulting.
Extensive experience working with biopharmaceutical companies, with deep, demonstrated fluency in the pharma and clinical development landscape.
Direct sponsor-facing ownership of accounts or engagements with a track record of leading a cross-functional team to delivery on customer engagements that include services, technology, and software products, and surfacing expansion opportunities in an existing account.
Experience working between a commercial team and a delivery or technical team.
Exceptional communication and stakeholder-management skills, with the ability to lead and influence cross-functional teams without direct authority.
Strong problem-solving instincts and a proactive approach to surfacing and resolving risks and roadblocks.
Exposure to biostatistics or quantitative methods is strongly preferred.
Bachelor’s degree in Business, Life Sciences, Engineering, or a related field; an advanced degree in a life-sciences or technical discipline is a plus.
Comfort operating in a fast-moving, startup environment where this role defines the Engagement Director function.
Based locally in San Francisco Bay Area, or remote and open to travel (25% of your time).
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\n\nTHE ROLE\n\nWe are seeking a seasoned, mission-driven Engagement Director to bring structure, visibility, and cross-functional leadership to how we deliver our services and products. We are looking for a leader who drives clarity and momentum across the company and can lead cross-functional delivery teams to ensure customer satisfaction, retention, and expansion.\n\nBecause all of Unlearn’s customers are biopharmaceutical companies, deep fluency in the pharma and clinical development is essential. You will partner closely with our Technology, Science, Product, Commercial, Marketing, and G&A teams.\n\nThis role reports directly to the Chief Commercial Officer and day-to-day will be the conduit between the delivery and commercial teams. The Engagement Director owns the customer relationship after contract signature. They translate sponsor priorities into terms the delivery team can act on, hold the account to its contracted commitments, and surface expansion opportunities for the commercial team to pursue.\n\n\n\n\nRESPONSIBILITIES\n\n\nCUSTOMER RELATIONSHIP MANAGEMENT\n\n - Build a deep and trusting relationship with customers, serving as a point of contact for customer satisfaction, retention, and expansion.\n\n - Coordinate customer-facing timelines, milestones, and deliverables, ensuring internal delivery plans align with customer commitments.\n\n - Identify opportunities to expand and strengthen customer collaborations and communicate these internally so the business can improve.\n\n\n\n\nCROSS-FUNCTIONAL LEADERSHIP & DELIVERY\n\n - Proactively identify risks, dependencies, and potential roadblocks in customer projects, and lead cross-team problem-solving workstreams to resolve them before they impact delivery.\n\n - Drive accountability and clear communication across the delivery teams, defining priorities and keeping customer projects on track.\n\n - Report progress on customer delivery, risks, and resource trade-offs to leadership on a regular cadence.\n\n\n\n\nROADMAP OWNERSHIP & PROGRAM PLANNING\n\n - Track timelines, key milestones, interdependencies, and resource needs across customer engagements so leadership can plan resourcing and product delivery appropriately.\n\n - Stand up project management practices, cadences, and resource-planning tooling, creating a single source of truth for customer projects without heavyweight process overhead.\n\n\n\n\nREQUIREMENTS\n\n - 7+ years of experience delivering services or technology to clinical development groups at pharma or biotech sponsors: CRO, clinical tech vendor, or consulting.\n\n - Extensive experience working with biopharmaceutical companies, with deep, demonstrated fluency in the pharma and clinical development landscape.\n\n - Direct sponsor-facing ownership of accounts or engagements with a track record of leading a cross-functional team to delivery on customer engagements that include services, technology, and software products, and surfacing expansion opportunities in an existing account.\n\n - Experience working between a commercial team and a delivery or technical team.\n\n - Exceptional communication and stakeholder-management skills, with the ability to lead and influence cross-functional teams without direct authority.\n\n - Strong problem-solving instincts and a proactive approach to surfacing and resolving risks and roadblocks.\n\n - Exposure to biostatistics or quantitative methods is strongly preferred.\n\n - Bachelor’s degree in Business, Life Sciences, Engineering, or a related field; an advanced degree in a life-sciences or technical discipline is a plus.\n\n - Comfort operating in a fast-moving, startup environment where this role defines the Engagement Director function.\n\n - Based locally in San Francisco Bay Area, or remote and open to travel (25% of your time).\n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."},{"id":"c94512f9-ebbd-49f9-9611-61691e3aa30d","title":"Applied Machine Learning Scientist","department":"Technology","team":"Technology","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-17T21:41:42.309+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Unlearn/c94512f9-ebbd-49f9-9611-61691e3aa30d","applyUrl":"https://jobs.ashbyhq.com/Unlearn/c94512f9-ebbd-49f9-9611-61691e3aa30d/application","descriptionHtml":"Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
Applied ML Scientists lead Unlearn’s work to develop state-of-the-art ML approaches for generating Digital Twins – probabilistic models of a patient’s future health outcomes given knowledge of their current and past medical history. Applied ML Scientists at Unlearn come from a wide range of disciplines, and have honed their ML expertise through their previous experience conducting novel and impactful research at top academic and industrial labs or their previous work delivering ML and data-science products in highly ambiguous and challenging commercial settings. Successful Applied ML Scientists at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. They are also highly determined individuals, powering through problems with cleverness and resolve.
Design and implement machine learning models to characterize and predict disease progression.
Apply and fine-tune proprietary architectures to real-world clinical data.
Clearly communicate technical findings and results to internal and external stakeholders.
Stay up to date with developments in the ML field to inform Unlearn’s modeling work.
Represent Unlearn to the broader scientific community.
B.S. in computer science or engineering, physics, mathematics, or a related field.
2+ years of experience developing machine learning models and adapting them to solve real-world problems.
Demonstrable competency in the fundamentals of software engineering.
Fluency in the Python machine learning and data science ecosystem.
Evidence of successful execution of ML projects in an academic or industrial setting.
A track record of intellectual curiosity - e.g., exploring new techniques, tools, or ideas independently.
Contributions to well-known open-source ML tools or frameworks.
Previous experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning.
Prior experience working with healthcare or clinical machine learning applications.
Familiarity with AWS cloud computing services.
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\nApplied ML Scientists lead Unlearn’s work to develop state-of-the-art ML approaches for generating Digital Twins – probabilistic models of a patient’s future health outcomes given knowledge of their current and past medical history. Applied ML Scientists at Unlearn come from a wide range of disciplines, and have honed their ML expertise through their previous experience conducting novel and impactful research at top academic and industrial labs or their previous work delivering ML and data-science products in highly ambiguous and challenging commercial settings. Successful Applied ML Scientists at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. They are also highly determined individuals, powering through problems with cleverness and resolve.\n\n\n\n\nRESPONSIBILITIES INCLUDE:\n\n - Design and implement machine learning models to characterize and predict disease progression.\n\n - Apply and fine-tune proprietary architectures to real-world clinical data.\n\n - Clearly communicate technical findings and results to internal and external stakeholders.\n\n - Stay up to date with developments in the ML field to inform Unlearn’s modeling work.\n\n - Represent Unlearn to the broader scientific community.\n\n\n\n\nMINIMUM REQUIREMENTS:\n\n - B.S. in computer science or engineering, physics, mathematics, or a related field.\n\n - 2+ years of experience developing machine learning models and adapting them to solve real-world problems.\n\n - Demonstrable competency in the fundamentals of software engineering.\n\n - Fluency in the Python machine learning and data science ecosystem.\n\n - Evidence of successful execution of ML projects in an academic or industrial setting.\n\n - A track record of intellectual curiosity - e.g., exploring new techniques, tools, or ideas independently.\n\n\n\n\nBONUS POINTS FOR:\n\n - Contributions to well-known open-source ML tools or frameworks.\n\n - Previous experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning.\n\n - Prior experience working with healthcare or clinical machine learning applications.\n\n - Familiarity with AWS cloud computing services.\n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."},{"id":"a7e00671-b40e-407b-9774-ad68cb89fbc6","title":"Clinical Data Scientist","department":"Technology","team":"DTG Build","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-22T20:15:14.877+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Unlearn/a7e00671-b40e-407b-9774-ad68cb89fbc6","applyUrl":"https://jobs.ashbyhq.com/Unlearn/a7e00671-b40e-407b-9774-ad68cb89fbc6/application","descriptionHtml":"Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs.
Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.
Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis.
Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings.
BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.
2+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.
Experience working with complex or nuanced datasets.
Fluency in Python and its essential data science tools (numpy, pandas).
Demonstrated experience in collaborative software development.
Experience with clinical datasets in applied machine learning applications.
Experience working in multidisciplinary teams that include scientists, engineers, and product management.
Prior experience in forward-deployed, client-facing settings.
Experience in clinical/healthcare data.
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\n\nTHE ROLE\n\nClinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs.\n\n\n\n\nRESPONSIBILITIES\n\n - Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.\n\n - Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.\n\n - Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis.\n\n - Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings.\n\n\n\n\nREQUIREMENTS\n\n - BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.\n\n - 2+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.\n\n - Experience working with complex or nuanced datasets.\n\n - Fluency in Python and its essential data science tools (numpy, pandas).\n\n - Demonstrated experience in collaborative software development.\n\n - Experience with clinical datasets in applied machine learning applications.\n\n - Experience working in multidisciplinary teams that include scientists, engineers, and product management.\n\n\n\n\nNICE TO HAVES\n\n - Prior experience in forward-deployed, client-facing settings.\n\n - Experience in clinical/healthcare data.\n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."},{"id":"8f194bba-0d69-4740-8360-bc6c025639a5","title":"AI Engineer","department":"Science","team":"Science","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-02T16:40:43.037+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Unlearn/8f194bba-0d69-4740-8360-bc6c025639a5","applyUrl":"https://jobs.ashbyhq.com/Unlearn/8f194bba-0d69-4740-8360-bc6c025639a5/application","descriptionHtml":"Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
AI Engineer. Our Science organization leads Unlearn’s efforts to build new capabilities across machine learning, statistics, and AI tools that help our teams create and deliver digital twin solutions to customers. This first-of-its-kind role at Unlearn will be responsible for scaling the use of agents for core business problems and deliver impact in efficiency and extensibility. Successful AI Engineers at Unlearn will be entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they collaborate heavily and investigate broadly to find the right tools and techniques to help their teams succeed.
Build AI agents, skills, and tools that are core components of our workflows to create and deliver digital twins to customers
Build infrastructure, harnessing, and governance systems to manage agentic workflows in line with regulatory and compliance requirements
Collaborate with scientists across research, development, and delivery teams to define and build AI-centric solutions
Work across teams to gain user feedback and increase adoption of new tools
Clearly communicate capabilities and use to internal and external stakeholders
Stay up to date with developments in AI tooling to inform Unlearn’s work
B.S. in computer science or engineering, physics, mathematics, or a related field.
Prior experience working with healthcare or clinical machine learning applications.
2+ years of experience developing AI skills, agents, and tools and applying them to solve real-world problems.
Experience with AI systems, from infrastructure through agent creation and use.
Experience with AWS cloud computing services.
Evidence of successful execution of AI projects in an industry setting.
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\nAI Engineer. Our Science organization leads Unlearn’s efforts to build new capabilities across machine learning, statistics, and AI tools that help our teams create and deliver digital twin solutions to customers. This first-of-its-kind role at Unlearn will be responsible for scaling the use of agents for core business problems and deliver impact in efficiency and extensibility. Successful AI Engineers at Unlearn will be entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they collaborate heavily and investigate broadly to find the right tools and techniques to help their teams succeed.\n\n\n\n\nRESPONSIBILITIES INCLUDE:\n\n - Build AI agents, skills, and tools that are core components of our workflows to create and deliver digital twins to customers\n\n - Build infrastructure, harnessing, and governance systems to manage agentic workflows in line with regulatory and compliance requirements\n\n - Collaborate with scientists across research, development, and delivery teams to define and build AI-centric solutions\n\n - Work across teams to gain user feedback and increase adoption of new tools\n\n - Clearly communicate capabilities and use to internal and external stakeholders\n\n - Stay up to date with developments in AI tooling to inform Unlearn’s work\n\n\n\n\nMINIMUM REQUIREMENTS:\n\n - B.S. in computer science or engineering, physics, mathematics, or a related field.\n\n - Prior experience working with healthcare or clinical machine learning applications.\n\n - 2+ years of experience developing AI skills, agents, and tools and applying them to solve real-world problems.\n\n - Experience with AI systems, from infrastructure through agent creation and use.\n\n - Experience with AWS cloud computing services.\n\n - Evidence of successful execution of AI projects in an industry setting.\n\n\n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."},{"id":"1a748b69-3309-4385-b827-e3f3c2f1d423","title":"Senior Clinical Data Scientist","department":"Technology","team":"DTG Build","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-22T21:24:14.278+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Unlearn/1a748b69-3309-4385-b827-e3f3c2f1d423","applyUrl":"https://jobs.ashbyhq.com/Unlearn/1a748b69-3309-4385-b827-e3f3c2f1d423/application","descriptionHtml":"Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
Senior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs.
Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
Evaluate data quality, bias, and limitations and proactively propose mitigation strategies.
Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.
Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis.
Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings.
BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.
5+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.
Experience working with complex or nuanced datasets.
Fluency in Python and its essential data science tools (numpy, pandas).
Demonstrated experience in collaborative software development.
Experience with clinical datasets in applied machine learning applications.
Experience working in multidisciplinary teams that include scientists, engineers, and product management.
Prior experience in forward-deployed, client-facing settings.
Experience in clinical/healthcare data.
Experience with regulatory-facing clinical data standards (e.g., CDISC, ADaM, SDTM).
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\nSenior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn’s solutions are appropriately tailored to real-world study designs.\n\n\n\n\nRESPONSIBILITIES\n\n - Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.\n\n - Evaluate data quality, bias, and limitations and proactively propose mitigation strategies.\n\n - Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.\n\n - Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis.\n\n - Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings.\n\n\n\n\nREQUIREMENTS\n\n - BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.\n\n - 5+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.\n\n - Experience working with complex or nuanced datasets.\n\n - Fluency in Python and its essential data science tools (numpy, pandas).\n\n - Demonstrated experience in collaborative software development.\n\n - Experience with clinical datasets in applied machine learning applications.\n\n - Experience working in multidisciplinary teams that include scientists, engineers, and product management.\n\n - Prior experience in forward-deployed, client-facing settings.\n\n - Experience in clinical/healthcare data.\n\n - Experience with regulatory-facing clinical data standards (e.g., CDISC, ADaM, SDTM).\n \n \n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."},{"id":"e0908c17-959e-452a-9212-2e7ad7e87ee0","title":"VP of Clinical Solutions","department":"Technology","team":"Technology","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-17T12:02:19.959+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Unlearn/e0908c17-959e-452a-9212-2e7ad7e87ee0","applyUrl":"https://jobs.ashbyhq.com/Unlearn/e0908c17-959e-452a-9212-2e7ad7e87ee0/application","descriptionHtml":"Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
Leading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. A digital twin of a patient is a comprehensive prediction of expected outcomes under a defined standard of care, made by a machine learning model built using our proprietary technology. That work is done by our scientific delivery teams, with expertise spanning biostatistics, data science, clinical science, and machine learning. As the VP of Clinical Solutions, you will lead an organization of scientists and technical leaders across a wide array of active customer projects with different timelines, needs, and opportunities.
This role sits at the intersection of scientific leadership and operational excellence. On one side, you will develop technical teams through hands-on people leadership, technical governance, and deep domain judgment about what rigorous clinical and scientific delivery work looks like. On the other, you will keep delivery on track across a growing portfolio, resourcing projects effectively as we scale, and partnering across functions to solve problems before they reach customers.
You will report to the COO and be responsible for meeting business goals in Delivery that ensures that Unlearn increases its leadership and reputation as a best-in-class innovator and scientific partner.
Lead Unlearn's scientific delivery organization and own the quality, timeliness, and scientific rigor of customer-facing delivery work across a portfolio of concurrent projects.
Partner closely with Business Development, Product, Engineering, R&D, and Quality Management to shape scopes of work, resolve cross-functional blockers, feed delivery learnings back into the product, and ensure what we sell is what we can deliver excellently.
Serve as a senior scientific voice with customers: stepping into escalations, building trust with sponsor teams, and representing the credibility of Unlearn's science in clinical development settings.
Develop technical team leaders through direct people leadership, mentorship, and career development.
Establish and uphold technical governance: standards, review practices, and quality frameworks that ensure our statistical analyses, data products, and ML applications meet the bar our customers and regulators expect.
Own delivery operations at scale: project staffing and resourcing, capacity planning, prioritization across competing customer demands, and delivery processes that keep a growing portfolio on track without burning out the team.
Report regularly to company leadership on delivery health, capacity, and portfolio risk; manage the growth of delivery commitments so that we scale ambitiously without over-committing resources, and escalate risks early and transparently.
Build the systems, metrics, and delivery models that maintain quality while we continue to grow.
10+ years leading scientific or analytical delivery work in clinical development, with significant experience operating at the Senior Director or VP level with responsibility for multi-disciplinary technical teams.
A track record of leading data analytics, biostatistics, data science, or related delivery organizations serving biopharma customers—for example at real-world data (RWD) companies, CROs, or analytics-driven clinical development partners. Direct ML delivery experience is a plus, but deep respect for and fluency with quantitative methods is essential.
Demonstrated scientific leadership: you have grown individual contributors into technical leaders, and you can provide credible technical guidance and governance across biostatistics, data science, and ML without needing to be the deepest expert in each.
Strong operational skills: you have kept complex, concurrent customer delivery portfolios on track, resourced projects effectively under real constraints, and scaled delivery teams and processes as demand grew.
Domain knowledge of clinical development: study designs, clinical data, sponsor expectations, and the regulatory and evidentiary standards that govern our customers' decisions.
Experience reporting to executive leadership on delivery capacity, growth, and risk: you manage commitments realistically, say no when the math doesn't work, and surface problems early rather than letting them compound.
Comfort operating cross-functionally with Business Development, Product, Engineering, R&D, Quality Management, and customer stakeholders, and translating fluidly between technical and non-technical audiences.
Experience in growth-stage or early-stage companies to build a stronger delivery model while running it.
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\n\nYOUR ROLE\n\nLeading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. A digital twin of a patient is a comprehensive prediction of expected outcomes under a defined standard of care, made by a machine learning model built using our proprietary technology. That work is done by our scientific delivery teams, with expertise spanning biostatistics, data science, clinical science, and machine learning. As the VP of Clinical Solutions, you will lead an organization of scientists and technical leaders across a wide array of active customer projects with different timelines, needs, and opportunities.\n\nThis role sits at the intersection of scientific leadership and operational excellence. On one side, you will develop technical teams through hands-on people leadership, technical governance, and deep domain judgment about what rigorous clinical and scientific delivery work looks like. On the other, you will keep delivery on track across a growing portfolio, resourcing projects effectively as we scale, and partnering across functions to solve problems before they reach customers.\n\nYou will report to the COO and be responsible for meeting business goals in Delivery that ensures that Unlearn increases its leadership and reputation as a best-in-class innovator and scientific partner.\n\n\n\nRESPONSIBILITIES\n\n - Lead Unlearn's scientific delivery organization and own the quality, timeliness, and scientific rigor of customer-facing delivery work across a portfolio of concurrent projects.\n\n - Partner closely with Business Development, Product, Engineering, R&D, and Quality Management to shape scopes of work, resolve cross-functional blockers, feed delivery learnings back into the product, and ensure what we sell is what we can deliver excellently.\n\n - Serve as a senior scientific voice with customers: stepping into escalations, building trust with sponsor teams, and representing the credibility of Unlearn's science in clinical development settings.\n\n - Develop technical team leaders through direct people leadership, mentorship, and career development.\n\n - Establish and uphold technical governance: standards, review practices, and quality frameworks that ensure our statistical analyses, data products, and ML applications meet the bar our customers and regulators expect.\n\n - Own delivery operations at scale: project staffing and resourcing, capacity planning, prioritization across competing customer demands, and delivery processes that keep a growing portfolio on track without burning out the team.\n\n - Report regularly to company leadership on delivery health, capacity, and portfolio risk; manage the growth of delivery commitments so that we scale ambitiously without over-committing resources, and escalate risks early and transparently.\n\n - Build the systems, metrics, and delivery models that maintain quality while we continue to grow.\n\n\n\n\nREQUIREMENTS\n\n - 10+ years leading scientific or analytical delivery work in clinical development, with significant experience operating at the Senior Director or VP level with responsibility for multi-disciplinary technical teams.\n\n - A track record of leading data analytics, biostatistics, data science, or related delivery organizations serving biopharma customers—for example at real-world data (RWD) companies, CROs, or analytics-driven clinical development partners. Direct ML delivery experience is a plus, but deep respect for and fluency with quantitative methods is essential.\n\n - Demonstrated scientific leadership: you have grown individual contributors into technical leaders, and you can provide credible technical guidance and governance across biostatistics, data science, and ML without needing to be the deepest expert in each.\n\n - Strong operational skills: you have kept complex, concurrent customer delivery portfolios on track, resourced projects effectively under real constraints, and scaled delivery teams and processes as demand grew.\n\n - Domain knowledge of clinical development: study designs, clinical data, sponsor expectations, and the regulatory and evidentiary standards that govern our customers' decisions.\n\n - Experience reporting to executive leadership on delivery capacity, growth, and risk: you manage commitments realistically, say no when the math doesn't work, and surface problems early rather than letting them compound.\n\n - Comfort operating cross-functionally with Business Development, Product, Engineering, R&D, Quality Management, and customer stakeholders, and translating fluidly between technical and non-technical audiences.\n\n - Experience in growth-stage or early-stage companies to build a stronger delivery model while running it.\n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."},{"id":"86c559a3-5b7f-488f-814d-3fa5edb34998","title":"VP of Engineering","department":"Technology","team":"Technology","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-09-17T11:58:56.773+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Unlearn/86c559a3-5b7f-488f-814d-3fa5edb34998","applyUrl":"https://jobs.ashbyhq.com/Unlearn/86c559a3-5b7f-488f-814d-3fa5edb34998/application","descriptionHtml":"Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
Unlearners are gritty; we never give up, setbacks just make us try harder.
Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
Leading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. A digital twin of a patient is a comprehensive prediction of expected outcomes under a defined standard of care, made by a machine learning model built using our proprietary technology. Working at scale across the industry requires a strong engineering foundation built around data, models, and AI in a regulated, compliance-heavy environment.
As the VP of Engineering, you will lead our engineering function, an organization of engineers spanning core engineering, applications, ML/AI Ops, and infrastructure. The team includes engineers across experience levels, anchored by strong senior technical leaders. Engineering plays a critical role in our ability to deliver AI technology through models, applications, and agentic systems, and this role will ensure the potential of AI systems are realized across that technical stack.
This is an execution-focused leadership role, focused on the core engineering systems, software applications, infrastructure, and forward deployment that drive AI-heavy, tech-enabled services. You will work with your teams on scoping and delivery, and lead an engineering organization known for shipping what it commits to. You will partner closely with Product, Delivery, and R&D teams to understand requirements, integrate engineering with our customer delivery teams, and build the platform and tools they use to do their best work.
Just as importantly, you will connect engineering to the company's direction, understanding company strategy, translating it into a concrete engineering roadmap that integrates a workflow across data, modeling, applications, compliance, and security, and holding the team accountable for delivering to that roadmap on timeframes that match company objectives. You will work as a member of the leadership team, maintaining consistent communication and clear expectations in both directions, so that leadership always knows where engineering stands, and engineering always knows why its work matters.
Lead Unlearn's engineering function across technical disciplines, owning the quality, reliability, compliance, and security of the systems that power our work. Ensure AI tools and systems are used heavily for efficiency and impact.
Drive execution: define projects, partner with teams on scoping and estimation, and run delivery practices that turn commitments into shipped work. Partner with Product, R&D, and Delivery leadership to understand requirements, shape technical approaches, and deliver on value for customers.
Translate company strategy to sequence and prioritize work so that engineering output directly advances company objectives, and hold teams accountable for delivering to that roadmap on the timeframes the business requires.
Operate as a member of the leadership team: report clearly and consistently on engineering progress, capacity, and risk; maintain aligned expectations between leadership and the engineering team; and communicate priorities and context down into the organization.
Establish an AI-centric engineering culture, one that scales the impact of the organization and likewise equips team members with strong, modern toolsets to help them grow and succeed in their careers at and beyond Unlearn.
Own hiring and team design for engineering, deliberately growing the organization aligned with company needs.
10+ years in software engineering with significant experience leading engineering organizations at the Senior Director or VP level, including managing managers and senior technical leaders across multiple engineering disciplines.
A track record of strong execution in highly collaborative and cross-functional environments where engineering has delivered on timelines that mattered to the business.
Experience leading across the stack: infrastructure/DevOps, backend or platform engineering, and application/front-end development, with experience in regulated environments where compliance is a key factor on system design.
Demonstrated ability to translate company strategy into an engineering roadmap, communicate the \"why\" behind priorities, and hold teams accountable for delivering against commitments.
Experience partnering closely with Product, R&D, and customer-facing delivery teams; you have built internal tools and platforms that made technical teams measurably more effective.
Experience in growth-stage or early-stage companies where you built engineering processes and delivery discipline in small teams while shipping. Experience in life sciences, healthcare, or another regulated, data-intensive domain is a plus.
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
","descriptionPlain":"OUR MISSION AND VISION\n\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\n\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\n\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\n\n\n\n\nABOUT OUR TEAM\n\nWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:\n\n - Unlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\n - Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\n - Unlearners are gritty; we never give up, setbacks just make us try harder.\n\n - Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\n - Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\n - Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\n\nIf our purpose and culture resonate with you, we invite you to apply.\n\n\n\n\nYOUR ROLE\n\nLeading Pharma and Biotech companies trust Unlearn to deliver scientifically rigorous work using digital twins on studies where the stakes are high and the timelines are real. A digital twin of a patient is a comprehensive prediction of expected outcomes under a defined standard of care, made by a machine learning model built using our proprietary technology. Working at scale across the industry requires a strong engineering foundation built around data, models, and AI in a regulated, compliance-heavy environment.\n\nAs the VP of Engineering, you will lead our engineering function, an organization of engineers spanning core engineering, applications, ML/AI Ops, and infrastructure. The team includes engineers across experience levels, anchored by strong senior technical leaders. Engineering plays a critical role in our ability to deliver AI technology through models, applications, and agentic systems, and this role will ensure the potential of AI systems are realized across that technical stack.\n\nThis is an execution-focused leadership role, focused on the core engineering systems, software applications, infrastructure, and forward deployment that drive AI-heavy, tech-enabled services. You will work with your teams on scoping and delivery, and lead an engineering organization known for shipping what it commits to. You will partner closely with Product, Delivery, and R&D teams to understand requirements, integrate engineering with our customer delivery teams, and build the platform and tools they use to do their best work.\n\nJust as importantly, you will connect engineering to the company's direction, understanding company strategy, translating it into a concrete engineering roadmap that integrates a workflow across data, modeling, applications, compliance, and security, and holding the team accountable for delivering to that roadmap on timeframes that match company objectives. You will work as a member of the leadership team, maintaining consistent communication and clear expectations in both directions, so that leadership always knows where engineering stands, and engineering always knows why its work matters.\n\n\n\nRESPONSIBILITIES\n\n - Lead Unlearn's engineering function across technical disciplines, owning the quality, reliability, compliance, and security of the systems that power our work. Ensure AI tools and systems are used heavily for efficiency and impact.\n\n - Drive execution: define projects, partner with teams on scoping and estimation, and run delivery practices that turn commitments into shipped work. Partner with Product, R&D, and Delivery leadership to understand requirements, shape technical approaches, and deliver on value for customers.\n\n - Translate company strategy to sequence and prioritize work so that engineering output directly advances company objectives, and hold teams accountable for delivering to that roadmap on the timeframes the business requires.\n\n - Operate as a member of the leadership team: report clearly and consistently on engineering progress, capacity, and risk; maintain aligned expectations between leadership and the engineering team; and communicate priorities and context down into the organization.\n\n - Establish an AI-centric engineering culture, one that scales the impact of the organization and likewise equips team members with strong, modern toolsets to help them grow and succeed in their careers at and beyond Unlearn.\n\n - Own hiring and team design for engineering, deliberately growing the organization aligned with company needs.\n\n\nREQUIREMENTS\n\n - 10+ years in software engineering with significant experience leading engineering organizations at the Senior Director or VP level, including managing managers and senior technical leaders across multiple engineering disciplines.\n\n - A track record of strong execution in highly collaborative and cross-functional environments where engineering has delivered on timelines that mattered to the business.\n\n - Experience leading across the stack: infrastructure/DevOps, backend or platform engineering, and application/front-end development, with experience in regulated environments where compliance is a key factor on system design.\n\n - Demonstrated ability to translate company strategy into an engineering roadmap, communicate the \"why\" behind priorities, and hold teams accountable for delivering against commitments.\n\n - Experience partnering closely with Product, R&D, and customer-facing delivery teams; you have built internal tools and platforms that made technical teams measurably more effective.\n\n - Experience in growth-stage or early-stage companies where you built engineering processes and delivery discipline in small teams while shipping. Experience in life sciences, healthcare, or another regulated, data-intensive domain is a plus.\n\n\n\n\nBENEFITS & PERKS\n\nThe following benefits and perks are for full time roles only. \n\n - Meaningful equity participation\n\n - 100% company-covered medical, dental, & vision insurance plans\n\n - 401k plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter benefits \n\n - Paid Parental Leave\n\n\n\nUnlearn is an equal opportunity employer. \n\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless."}],"apiVersion":"1"}