Senior Data Scientist

Responsibilities

• 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

Qualifications

• 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
• Experience deploying models into commercial software products

Perks

• Dynamic role and the opportunity to contribute to the company's growth and shape its future
• Unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs

Job Requirements

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

Information Security Roles and Responsibilities

• All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines.
• Each user is responsible to maintain a secure working environment and follow all policies and procedures.
• Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.

Equal Opportunity Employer

• We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect.
• We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status.

Contact Us

• Check our website at https://www.arine.io
• Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire.

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