Principal Research Data Scientist

About the role

You'll run the statistical analyses that test whether screening every patient really changes their trajectory, look hard at the results, and figure out where we can do better. That work supports our partners and our go-to-market efforts, and it can shape a product that clinicians use every day. You'll also have a lot to work with: EHR data from 40+ hospitals, hundreds of thousands of patients, real deployments, and your pick of health system partners.

You’ll get support from, and work closely with, our data science and engineering teams, who know the data inside and out.

What You'll Do

• Own research projects end-to-end, from study design through analysis, interpretation, and publication.
• Design and run observational and quasi-experimental studies on real-world hospital data.
• Analyze complex clinical and operational datasets and stand behind the methods.
• Collaborate with frontline clinicians, health system execs, our customer success team, our go-to-market teams, and our data science team to come up with new research questions, weigh in on product decisions, and lead the outcomes and impact studies tied to our health system partnerships.

What You'll Need

• PhD in statistics, biostatistics, epidemiology, or a related field.
• At least 2 years of (non-PhD) experience conducting observational health research using large healthcare databases.
• Background in epidemiology or outcomes research.
• Deep expertise in causal inference on observational data: difference-in-differences, regression discontinuity, interrupted time series, propensity methods.
• Fluency in Python, including the ability to wrangle large, observational clinical datasets.
• A track record of owning analyses or full research projects independently.

Bonus

• Hands-on experience with EHR, claims, and billing data.
• Familiarity with healthcare quality metrics and health system benchmarking.
• Experience presenting research at conferences or to external audiences.
• Exposure to claims or billing data.
• Industry experience, though strong academic candidates are welcome.

Compensation and Benefits

• Salary: $170,000 to $215,000.
• Equity: meaningful ownership in an early-stage company.
• Healthcare: 100% of premiums covered.
• PTO: unlimited, with a recommended minimum of 20 days.
• 401(k): 4% match.
• Equipment: laptop plus a home office budget.