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Associate Principal Scientist, Statistical Programming - Merck
Software Engineer
Associate Principal Scientist in Statistical Programming delivering high‑quality PK modeling analysis for oncology, leveraging Python, R, SAS, SQL and advanced data stewardship to transform raw data into modeling‑ready datasets and insightful reports.
About the role
Key Responsibilities
- Develop and deliver statistical programming solutions for global PK modeling and simulation projects in oncology.
- Gather user requirements, retrieve and transform data into modeling‑ready datasets, ensuring accuracy and reproducibility.
- Lead data stewardship from source extraction to final modeling datasets, maintaining data integrity and documentation.
- Collaborate with cross‑functional teams, including statisticians, data managers, and clinical scientists, to support modeling analysis plans.
- Generate tables, figures, and reports that meet regulatory and stakeholder expectations.
Requirements
- Strong experience in statistical programming using Python, R, and SAS.
- Proficiency in SQL for data extraction and manipulation.
- Hands‑on knowledge of PK modeling concepts and simulation workflows.
- Excellent data stewardship and documentation skills.
- Effective communication and collaboration abilities in a multidisciplinary environment.