Oscar Health
Senior Data Scientist, Pharmacy
$164K–$215K
New York, New York, United States · Senior · Full-time · Posted Oct 21, 2026
- Experience
- Bachelor’s degree or 6+ years of industry or educational experience in a technical field; 4+ years in the listed analytics and modeling areas; 2+ years presenting to non-technical stakeholders. Bonus: master’s degree in a quantitative field plus 3 years of relevant experience, or a PhD in a quantitative field.
- Education
- Bachelor’s degree or 6+ years of industry or educational experience in a technical field.
About the job
Develops pharmacy-benefit data pipelines, models, and analytics to improve medication access, member experience, and affordability, including clinical AI/ML applications and analyses of benefit and policy changes.
What you'll do
- Design, evaluate, and operationalize clinical AI/ML applications with robust performance measurement, safety, and monitoring.
- Analyze financial and health outcomes, build models and scenarios, and translate findings into recommendations for clinical policies, benefits, and member programs.
- Partner with clinical, business, product, and engineering teams to prioritize opportunities, define success metrics, and implement solutions.
What they ask for
- Bachelor’s degree or 6+ years of industry or educational experience in a technical field.
- 4+ years using SQL, R, and/or Python to query, manipulate, and analyze data.
- 4+ years building data models and applying advanced analytics beyond descriptive analysis.
- 4+ years in statistical modeling and data processing/ETL pipelines; 2+ years presenting to non-technical stakeholders.
Nice to have
- Healthcare, finance, or insurance experience, particularly pharmacy benefits or clinical operations.
- Experience deploying AI/ML applications involving unstructured documents, production monitoring, or evaluating utilization and outcome tradeoffs.
Pay
$163,944 - $215,176.50 per year (base salary)
Tools
SQL, R, Python
AI focus
Designs and operationalizes clinical AI/ML applications; bonus experience includes AI/ML for unstructured documents with rigorous evaluation and production monitoring.
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