Principal Research Data Scientist

Every day millions of hospitalized patients who need intervention are missed because clinicians simply cant see everything. HealthLeap is building the AI operating system that helps care teams identify these missed patients enabling them to improve health outcomes and generate millions of dollars. HealthLeap is changing what is possible: closing gaps that traditional workflows and clinician capacity could never.

Over the past year weve grown contracted revenue more than 13x expanded rapidly across leading health systems and now help care teams identify patients across millions of inpatient encounters.

Were 25 people. >$32M raised. SF-based hybrid-friendly. And were delivering results that are changing lives.

At HealthLeap youll ask the hard questions about hospital care. Who gets missed and for which conditions What actually changes outcomes Where does screening help and where doesnt it Youll 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.

Youll be early enough to build the research agenda from scratch but late enough to know the product already works. Youll 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. Youll get support from and work closely with our data science and engineering teams who know the data inside and out.

You might be a good fit if youre curious care about impact and want to do applied data science. It helps if you like turning messy observational hospital data into results people actually cite and if youre excited by the speed of startups!

Youll be our first dedicated research hire which means you get to help set research priorities for HealthLeap and own your research portfolio. Year one will focus on running outcomes studies and driving two studies to publication but you will have the opportunity to shape the research team and grow with the function.

• 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.

• 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.

• 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.

• 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.

• Salary: $170000 to $215000.

• 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.

• Intro call: get to know each other.

• Technical: one or two interviews on your methods and past work.

• Onsite: technical assessment case study presentation behavioral interview meet the team.

• Decision: same week as onsite. We respect your time. If theres a fit youll know fast!

If youre passionate about applying frontier AI to real-world impact join us in building healthcares future.

Required Experience:

Staff IC