Associate Director, Real-World Analytics Programming
Revolution Medicines
Revolution Medicines seeks an Associate Director of Real-World Analytics Programming to lead statistical programming for observational oncology studies. The role involves managing study execution from initiation through final deliverables, translating protocols and analysis plans into reproducible programming solutions using SAS, SQL, R, and Python.
Responsibilities
- Lead statistical programming activities for assigned real-world studies from kickoff through final delivery
- Develop and validate analysis datasets, TLF shells, and programming documentation using multiple programming languages
- Translate study designs and analytical specifications into scalable, reproducible programming solutions
- Perform quality control and validation of programming code, datasets, and study outputs
- Assess data quality and fitness-for-purpose across claims, EHR, and genomic data sources
Requirements
- Advanced proficiency in SAS, SQL, R, and Python programming
- Experience with real-world evidence and health economics outcomes research studies
- Strong understanding of statistical analysis plans and clinical study protocols
- Expertise in survival analyses, propensity score methods, and confounding adjustment techniques
- Experience with oncology-focused real-world data sources including claims and EHR
- Demonstrated ability to independently manage multiple concurrent programming projects
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