Senior Data Scientist, Pharmacy — Hybrid + Equity

Oscar Health; New York (NY); Hybrid; USD 164,000 - 215,000; Full time

Job summary

Oscar Health is seeking a Senior Data Scientist, Pharmacy to join our Data team in New York City. The role focuses on developing data pipelines, models, and analytics to improve medication access, member experience, and plan affordability.

You will collaborate with clinical, business, product, and engineering teams to drive formulary optimization and utilization analyses. The position requires 4+ years in SQL, R, or Python, strong data modeling and statistical capabilities, and experience in

Qualifications

• Bachelor's degree or 6+ years in a technical field.
• 4+ years SQL, R, and/or Python experience.
• 4+ years building data models and using advanced analytics methods.
• 2+ years presenting to non-technical stakeholders.
• Experience in healthcare, finance or insurance, especially pharmacy benefits.
• Experience deploying AI/ML applications with unstructured documents.

Responsibilities

• Design and develop clinical AI/ML applications, leading the experimental lifecycle and deployment strategy.
• Apply advanced analytics to evaluate financial and health outcomes and policy impacts.
• Collaborate with data leaders and business teams to enhance data processes and prioritize opportunities.
• Provide data support and guide experiments through evaluation and implementation.
• Ensure compliance with applicable laws and regulations.

Skills

SQL

R

Python

Education

Bachelor's degree or 6+ years in technical field

Master's or PhD in quantitative field + 3 years

Job description

Oscar Health is seeking a Senior Data Scientist, Pharmacy to join our Data team in New York City. The role focuses on developing data pipelines, models, and analytics to improve medication access, member experience, and plan affordability.

You will collaborate with clinical, business, product, and engineering teams to drive formulary optimization and utilization analyses. The position requires 4+ years in SQL, R, or Python, strong data modeling and statistical capabilities, and experience in