Senior Clinical Data Scientist

Our Mission 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. What We Do 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. Where We’re Going 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. Our Values 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. About Unlearn 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. Responsibilities 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. Requirements 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). Benefits & Perks 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.