• We’re hiring a Lead Data Scientist to anchor one of the most important bets in our next chapter
• Fullscript is building intelligence trained on real-world functional outcomes. Not textbook data. Not controlled trials. Real longitudinal practitioner data layered with our own prescribing and lab history
• The hard part isn’t building models. It’s designing research that can credibly claim causality in messy, non-randomized healthcare data. Can we say that Protocol X led to Outcome Y, and stand behind it with confidence?
• You’ll define how we approach causal research, set the methodological standard, and turn complex clinical data into insight the business can actually use.
• The output of this role will shape product direction, influence executive decisions, and determine whether this initiative becomes foundational to the company’s future
• This is a high bar. We’re looking for someone who’s comfortable owning it
• Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference
• Addressing confounding, selection bias, missingness, and other structural challenges in real-world healthcare data
• Extracting outcome intelligence from newly acquired longitudinal practitioner datasets
• Connecting prescribing patterns, lab data, and behavioral signals into coherent analytical narratives
• Establishing methodological standards that protect the integrity of our claims
• Translating complex statistical findings into clear implications for Product, Marketing, and executive stakeholders
• Leading and mentoring a small data team while remaining deeply hands-on in research and modeling
• Building repeatable research processes that can scale as new data flows in

Benefits

• Reach your wellness goals with our benefits plan, discount on practitioner-grade supplements, and company-wide health and wellness programs
• Our dedicated DEIB Council ensures we advocate for equality and encourage positive change within ourselves and the community. We value the unique qualities and perspectives of our team
• You choose your own office with our Wherever You Work Well approach. Whether that’s in-person or at home, teams aren’t defined by geography. Output, not location, is our success metric so we also offer a flexible approach to your working hours, vacation, and personal days
• We empower each other to grow with lunch and learns, lean in circles, show-and-tells, and more. Everyone has something to learn and something to teach so we pride ourselves on growing as a team
• We’re not just a company — we’re a community. Team lunches, weekly town halls, birthdays, parties, and clubs are an essential part of our community and culture
• The health of our people relies on the health of our planet. We are certified carbon-neutral, taking our first big step in creating a more sustainable future- Professional maturity and autonomy to run a high-visibility research function independently
• Comfort working with messy inputs such as PDF labs, narrative notes, inconsistent schemas, and evolving data structures
• Strong Python proficiency and hands-on experience with statistical modeling libraries
• Experience leading or mentoring other data professionals while maintaining technical depth
• Demonstrated experience designing studies in observational healthcare data where randomization is not available
• A track record of translating analytical insight into tangible business or product decisions
• Practical understanding of the pitfalls in real-world clinical datasets, including confounding variables, selection effects, and incomplete outcome signals
• Advanced training in statistics, biostatistics, econometrics, or a related field with deep expertise in causal inference