Senior Data Scientist (RWD/RWE) – Healthcare Analytics
Remote | Contractor | English Required
We are looking for a Senior Data Scientist with strong experience in Real-World Data (RWD) and Real-World Evidence (RWE) to join a high-impact analytics team in the healthcare/pharma space.
Key Responsibilities:
- Lead end-to-end analytics using large healthcare datasets (claims data such as Optum, MarketScan, Medicare, Medicaid)
- Design and execute observational studies (cohorts, outcomes, longitudinal analysis)
- Apply statistical and machine learning methods (regression, survival analysis, predictive modeling)
- Build and manage large-scale data pipelines and analysis-ready datasets
- Partner with cross-functional teams (Medical, Commercial, Clinical) to support decision-making
- Communicate insights clearly to technical and non-technical stakeholders
Requirements:
- 4+ years of experience in Data Science, preferably in healthcare or pharma
- Hands-on experience with claims datasets (Optum or similar) (required)
- Strong statistical background (regression, survival analysis, longitudinal modeling)
- Experience with Python and/or R
- Experience working with large datasets (Spark, SQL or similar)
- Strong communication and stakeholder management skills
Nice to Have:
- Experience in HEOR, Medical Affairs, or Market Access
- Knowledge of causal inference methods
- Experience in oncology or other therapeutic areas
- Publications or research experience in RWE
Join a team working at the intersection of data, healthcare, and real-world impact.
Job Category: Engineering
Job Type: Full Time
Job Location: Remote