Arine
Senior Data Scientist
San Francisco or Remote · Senior
Sponsorship not specified$160k-$180kDetected 14 days ago
PythonSQLMachine Learningscikit-learnPandasNumPyData ScienceStatisticsEHR/EMRExperimental DesignPublic SpeakingBiostatisticsEpidemiology
About the role
- Frequently, medications cause more harm than good.
- Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year.
- Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address.
Responsibilities
- Develop, validate, and deploy predictive and causal models and AI tools into Arine's medication management platform, with careful attention to bias, confounding, and generalizability
- Partner with clinicians and HEOR researchers to frame questions as well-defined causal estimands and translate findings into clinical and operational decisions
- Create presentations and reports communicating methods, assumptions, and results to the Data Science team and cross-functional stakeholders
- Participate in critical reviews within the Data Science team on everything from methods and study design to implementation strategy and code
- Experience working cross-functionally to define analysis objectives and deliver analytical results
Requirements
- Experience handling the practical challenges of real-world data: missingness, confounding, selection bias, and measurement error
- Proficiency with R, Python (scikit-learn, pandas, numpy), and SQL
- Demonstrated ability to work independently, exercise good judgment, prioritize multiple projects, and problem-solve under tight deadlines and resource constraints
- Excellent written, interpersonal, and presentation skills, including the ability to convey complex technical concepts clearly to audiences with varying levels of technical understanding
- Master's or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Computer Science, a quantitative/physical science, or a related field
- Strong foundation in statistical inference and study design, and demonstrated expertise in causal modeling with observational data, e.g., propensity score methods, inverse probability weighting, instrumental variables, difference-in-differences, regression discontinuity, marginal structural models, and target trial emulation
- Demonstrated, hands-on experience with causal machine learning methods, e.g., double/debiased machine learning, causal forests, targeted maximum likelihood estimation (TMLE), or meta-learners (T-/X-/R-learners)-and familiarity with libraries such as WeightIt, MatchIt, grf, DoWhy, EconML, or CausalML
- Meaningful experience (3+ years) working with real-world healthcare data (e.g., medical and pharmacy claims or EHR data) and analyzing patient outcomes
Nice to have
- Experience modeling cost-of-care outcomes (e.g., total cost of care, utilization, avoidable spend) in high-risk, high-cost populations
- Deep experience with advanced difference-in-differences methods and related quasi-experimental designs (e.g., staggered/event-study DiD, synthetic control)
- Productive use of AI-enhanced coding tools (e.g., Claude Code) in day-to-day development
- Familiarity with survival analysis and longitudinal/repeated-measures methods
- Experience deploying models into commercial software products
Compensation
- $160,000-180,000/year.
- The salary range for this position is: $160,000-180,000/year.
Benefits
- You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs.
- The posted range represents the expected salary for this position and does not include any other potential components of the compensation package, benefits, and perks.
- Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS).
- Design and execute causal analyses of real-world health data to quantify the impact of medications and interventions on patient outcomes and costs
This listing is sourced directly from Arine's careers page and normalized into a canonical job model.