Every day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.
That isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.
Unlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.
A digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.
Our goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.
Accountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.
Accountability: We own outcomes, not just tasks
We take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.
Agility: We follow the evidence
Drug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.
Acceleration: We create momentum
Our mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.
Unlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.
We are building the gold standard workbench for Digital Twins in clinical development. That process starts with data. Clinical and healthcare data is messy, low information, and in many different formats. In order to realize the value the Digital Twins can offer, model building needs reliable data to build on.
You will own the area of the product that makes this happen. You will design and ship the parts of the workbench where people bring in and harmonize data, with AI agents taking on more of the mapping, checking, and cleanup, and people reviewing, correcting, and approving what the agents do. Underneath sits a knowledge layer: an ontology that records what our data means and how it connects. It is at an early stage, and it is intended to become what our agents rely on to do scientific work well. You will help shape it from the product side.
Your first users are our own scientists and services team, and you will work alongside them. The same tools will then move into customers' hands, so what you build is a core part of what Unlearn offers. You will work closely with engineers, designers, and scientists, and with the VP of Product, who sets overall direction with you.
You understand how a new study's data gets into the workbench today: where people spend their time, which decisions they make again and again, and where what we learned from earlier studies gets lost. You have turned that into a clear, prioritized plan.
You have shipped at least one improvement our services team uses on real studies, in which an agent takes on part of the ingestion or mapping work and people can see, check, and correct what it did. It saves real time without lowering the quality of the data.
You have a way of working with engineering, design, and the services team that everyone trusts. Requests have a clear path to you, and people know what is coming and when.
At least 3 years as a product manager, shipping products that technical or expert users rely on in their daily work, and that they adopted.
Experience shipping AI features where software does part of the work and a person stays in charge. You have worked out how people review and correct AI output, when it is safe for it to act on its own, and how to build users' trust over time.
Hands-on experience with data in more than one shape, such as tables, nested or document data, and graphs. You understand metadata and the work of mapping data from one model to another, and you are proficient in exploring data yourself.
Strong product and design judgment for complex workflows. You work closely with designers and engineers, and you prototype ideas yourself, including with AI tools, to test them before anyone builds them.
Clear written thinking, and the judgment to work independently within an agreed scope and to recognize when a decision should be made with others.
Experience with ontologies, knowledge graphs, or semantic technologies such as RDF, OWL, or property graphs.
Experience with clinical trial data or health data standards such as CDISC, FHIR, or OMOP.
Experience in the biopharma industry or in clinical development.
Experience building for scientists, statisticians, or other expert users.
Experience turning a tool built for an internal team into something customers use.
We prefer someone who can work from our San Francisco office, and we will consider remote candidates if they are the right fit.
The following benefits and perks are for full time roles only.
Meaningful equity participation
100% company-covered medical, dental, & vision insurance plans for you and your dependents
401(k) plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter and Wellness benefits
Tech stipend
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\n\nEvery day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.\n\nThat isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.\n\n\n\n\nWHAT WE DO\n\nUnlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.\n\nA digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.\n\n\n\n\nWHERE WE’RE GOING\n\nOur goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.\n\n\n\n\nOUR VALUES\n\nAccountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.\n\n\n\nAccountability: We own outcomes, not just tasks\nWe take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.\n\n\n\nAgility: We follow the evidence\nDrug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.\n\n\n\nAcceleration: We create momentum\nOur mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.\n\n\n\n\nABOUT UNLEARN\n\nUnlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.\n\n\n\n\nABOUT THE ROLE\n\nWe are building the gold standard workbench for Digital Twins in clinical development. That process starts with data. Clinical and healthcare data is messy, low information, and in many different formats. In order to realize the value the Digital Twins can offer, model building needs reliable data to build on.\n\nYou will own the area of the product that makes this happen. You will design and ship the parts of the workbench where people bring in and harmonize data, with AI agents taking on more of the mapping, checking, and cleanup, and people reviewing, correcting, and approving what the agents do. Underneath sits a knowledge layer: an ontology that records what our data means and how it connects. It is at an early stage, and it is intended to become what our agents rely on to do scientific work well. You will help shape it from the product side.\n\nYour first users are our own scientists and services team, and you will work alongside them. The same tools will then move into customers' hands, so what you build is a core part of what Unlearn offers. You will work closely with engineers, designers, and scientists, and with the VP of Product, who sets overall direction with you.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE IN YOUR FIRST 90 DAYS\n\n - You understand how a new study's data gets into the workbench today: where people spend their time, which decisions they make again and again, and where what we learned from earlier studies gets lost. You have turned that into a clear, prioritized plan.\n\n - You have shipped at least one improvement our services team uses on real studies, in which an agent takes on part of the ingestion or mapping work and people can see, check, and correct what it did. It saves real time without lowering the quality of the data.\n\n - You have a way of working with engineering, design, and the services team that everyone trusts. Requests have a clear path to you, and people know what is coming and when.\n\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - At least 3 years as a product manager, shipping products that technical or expert users rely on in their daily work, and that they adopted.\n\n - Experience shipping AI features where software does part of the work and a person stays in charge. You have worked out how people review and correct AI output, when it is safe for it to act on its own, and how to build users' trust over time.\n\n - Hands-on experience with data in more than one shape, such as tables, nested or document data, and graphs. You understand metadata and the work of mapping data from one model to another, and you are proficient in exploring data yourself.\n\n - Strong product and design judgment for complex workflows. You work closely with designers and engineers, and you prototype ideas yourself, including with AI tools, to test them before anyone builds them.\n\n - Clear written thinking, and the judgment to work independently within an agreed scope and to recognize when a decision should be made with others.\n \n \n\n\nNICE TO HAVE\n\n - Experience with ontologies, knowledge graphs, or semantic technologies such as RDF, OWL, or property graphs.\n\n - Experience with clinical trial data or health data standards such as CDISC, FHIR, or OMOP.\n\n - Experience in the biopharma industry or in clinical development.\n\n - Experience building for scientists, statisticians, or other expert users.\n\n - Experience turning a tool built for an internal team into something customers use.\n \n \n\n\nLOCATION\n\nWe prefer someone who can work from our San Francisco office, and we will consider remote candidates if they are the right fit.\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 for you and your dependents\n\n - 401(k) plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter and Wellness benefits \n\n - Tech stipend\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":"Every day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.
That isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.
Unlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.
A digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.
Our goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.
Accountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.
Accountability: We own outcomes, not just tasks
We take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.
Agility: We follow the evidence
Drug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.
Acceleration: We create momentum
Our mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.
Unlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.
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 for you and your dependents
401(k) plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter and Wellness benefits
Tech stipend
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\n\nEvery day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.\n\nThat isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.\n\n\n\n\nWHAT WE DO\n\nUnlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.\n\nA digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.\n\n\n\n\nWHERE WE’RE GOING\n\nOur goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.\n\n\n\n\nOUR VALUES\n\nAccountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.\n\n\n\nAccountability: We own outcomes, not just tasks\nWe take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.\n\n\n\nAgility: We follow the evidence\nDrug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.\n\n\n\nAcceleration: We create momentum\nOur mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.\n\n\n\n\nABOUT UNLEARN\n\nUnlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.\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 for you and your dependents\n\n - 401(k) plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter and Wellness benefits \n\n - Tech stipend\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":"Every day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.
That isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.
Unlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.
A digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.
Our goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.
Accountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.
Accountability: We own outcomes, not just tasks
We take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.
Agility: We follow the evidence
Drug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.
Acceleration: We create momentum
Our mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.
Unlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.
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 for you and your dependents
401(k) plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter and Wellness benefits
Tech stipend
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\n\nEvery day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.\n\nThat isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.\n\n\n\n\nWHAT WE DO\n\nUnlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.\n\nA digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.\n\n\n\n\nWHERE WE’RE GOING\n\nOur goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.\n\n\n\n\nOUR VALUES\n\nAccountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.\n\n\n\nAccountability: We own outcomes, not just tasks\nWe take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.\n\n\n\nAgility: We follow the evidence\nDrug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.\n\n\n\nAcceleration: We create momentum\nOur mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.\n\n\n\n\nABOUT UNLEARN\n\nUnlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.\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 for you and your dependents\n\n - 401(k) plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter and Wellness benefits \n\n - Tech stipend\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":"Every day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.
That isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.
Unlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.
A digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.
Our goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.
Accountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.
Accountability: We own outcomes, not just tasks
We take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.
Agility: We follow the evidence
Drug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.
Acceleration: We create momentum
Our mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.
Unlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.
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 for you and your dependents
401(k) plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter and Wellness benefits
Tech stipend
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\n\nEvery day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.\n\nThat isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.\n\n\n\n\nWHAT WE DO\n\nUnlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.\n\nA digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.\n\n\n\n\nWHERE WE’RE GOING\n\nOur goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.\n\n\n\n\nOUR VALUES\n\nAccountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.\n\n\n\nAccountability: We own outcomes, not just tasks\nWe take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.\n\n\n\nAgility: We follow the evidence\nDrug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.\n\n\n\nAcceleration: We create momentum\nOur mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.\n\n\n\n\nABOUT UNLEARN\n\nUnlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.\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 for you and your dependents\n\n - 401(k) plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter and Wellness benefits \n\n - Tech stipend\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":"Every day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.
That isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.
Unlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.
A digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.
Our goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.
Accountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.
Accountability: We own outcomes, not just tasks
We take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.
Agility: We follow the evidence
Drug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.
Acceleration: We create momentum
Our mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.
Unlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.
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 for you and your dependents
401(k) plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter and Wellness benefits
Tech stipend
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\n\nEvery day, people are waiting for a diagnosis, for a treatment, for a chance. Our mission is to help life-saving treatments reach patients faster.\n\nThat isn’t an abstraction to us. It’s the reason Unlearn exists, and it’s why the pace and rigor of our work matter so much.\n\n\n\n\nWHAT WE DO\n\nUnlearn is transforming clinical development by making every trial smarter. We partner with biopharmaceutical companies to redesign how clinical trials are planned, conducted, and analyzed. We use data, AI, and digital twins to make studies faster and more robust.\n\nA digital twin is a comprehensive prediction of a patient’s expected outcomes under a defined standard of care. It is generated by machine learning models built on our proprietary technology. Leading pharma and biotech companies trust us to deliver scientifically rigorous work on studies where the stakes are high and the timelines impact patients.\n\n\n\n\nWHERE WE’RE GOING\n\nOur goal is to become the gold standard for AI-driven clinical development. Getting there takes disciplined execution and data, models, and AI that is implemented with partners using a strong engineering foundation that holds up in a regulated, compliance-heavy environment. We’re building durable advantages rooted in science and innovative technologies, and that foundation is what will make our leadership last.\n\n\n\n\nOUR VALUES\n\nAccountability, Agility, and Acceleration describe how we work with each other every day. Fulfilling our mission depends on all of us doing our best work, and it’s on all of us to build and protect the culture that makes that possible.\n\n\n\nAccountability: We own outcomes, not just tasks\nWe take responsibility for results, make decisions with urgency, and follow through on our commitments. When things don’t go as planned, we say so. We surface issues early, learn, iterate quickly, and move forward without blame. We give and receive feedback that is clear, direct, and actionable.\n\n\n\nAgility: We follow the evidence\nDrug development and AI evolve rapidly. We stay curious, embrace new information, and change course when the evidence changes. We keep a close eye on where the industry is heading and build technology flexible enough to adapt when new data or opportunities arise. We value speed of learning over being right.\n\n\n\nAcceleration: We create momentum\nOur mission is to accelerate the development of new medicines, and that starts with how we work. We simplify, prioritize, and execute with urgency. Unlearners own the problems in front of them and are empowered to solve them. That helps our customers, our teammates, and our company move faster without sacrificing scientific rigor.\n\n\n\n\nABOUT UNLEARN\n\nUnlearn was founded in 2017 by a team of world-class machine learning scientists and is headquartered in San Francisco. We’re backed by top-tier investors including Altimeter, Insight Partners, Radical Ventures, 8VC, and DCVC. We have substantially advanced AI technology for clinical trials, including regulatory-grade applications, and are embedded in multiple clinical trials with top Pharma and Biotech companies.\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 for you and your dependents\n\n - 401(k) plan with matching\n\n - Flexible PTO plus company holidays\n\n - Annual company-wide break December 24 through January 1\n\n - Commuter and Wellness benefits \n\n - Tech stipend\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"}