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Senior Real World Data Programmer / Data Scientist / Analyst - Syneos Health
Data Scientist
Senior professional responsible for designing, building, and analyzing real‑world data pipelines, applying statistical and machine‑learning methods to generate actionable insights for drug development and commercialization.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines that ingest, clean, and transform real‑world data from diverse sources (claims, EHR, registries).
- Apply advanced statistical and machine‑learning techniques to generate evidence on treatment effectiveness, safety, and market access.
- Collaborate with cross‑functional clinical, epidemiology, and regulatory teams to translate business questions into analytical solutions.
- Produce reproducible analytical code, documentation, and visualizations for internal stakeholders and external clients.
- Validate data quality, perform sensitivity analyses, and ensure compliance with regulatory and privacy standards.
Requirements
- Advanced degree (PhD, MS, or equivalent) in Biostatistics, Epidemiology, Computer Science, or related field.
- 5+ years of hands‑on experience with Python or R for data manipulation, statistical modeling, and machine‑learning workflows.
- Strong SQL skills and experience working with large relational databases or cloud‑based data warehouses.
- Proven ability to apply statistical methods (e.g., survival analysis, propensity scoring) to real‑world evidence studies.
- Excellent communication skills to convey complex analytical results to non‑technical audiences.
Skills
pythonsqlmachine learning