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# Senior Data Scientist

- **Company:** Arine, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, NumPy, Commercial Software, Standard Sql, Pandas, Scikit Learn, Information Technology
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=25a99ebec39ec68c

## About the Role

Do you have a Master's degree?, * 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
 * 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
 * Experience working cross-functionally to define analysis objectives and deliver analytical results
 * 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

Bonus:

 * 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, * Ability to pass a background check
 * Must live in and be eligible to work in the United States

## Description

* Design and execute causal analyses of real-world health data to quantify the impact of medications and interventions on patient outcomes and costs
 * 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


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