Job Description

Role Description

This role involves deriving rigorous insights from large, diverse real-world health datasets to support Arine's mission to improve patient outcomes and lower the cost of healthcare at scale. You'll go beyond prediction to estimate the real effects of medications and interventions on patient outcomes using modern causal inference and causal machine learning methods. This is a dynamic role and an amazing opportunity to help shape the company from the ground up, with many growth opportunities. The Data Science team works with feature-rich, high-volume clinical datasets and collaborates cross-functionally with an experienced team of in-house clinicians, health economics and outcomes researchers (HEOR), engineers, and digital health entrepreneurs.

• 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
• Demonstrated, hands-on experience with causal machine learning methods
• Meaningful experience (3+ years) working with real-world healthcare data
• 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

Requirements

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

Benefits

• Dynamic role with the opportunity to contribute to the company's growth and shape its future
• Unparalleled learning and growth prospects
• Collaboration with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs
• Salary range: $160,000-180,000/year

Company Description

Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.

• Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work.
• Making a Proven Difference in Healthcare - We are saving patient lives and enabling individuals to experience improved health outcomes.
• Market Opportunity - Tackling one of the largest healthcare problems today.
• Dramatic Growth - Managing more than 18 million lives across prominent health plans.

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