Associate Director, Real-World Analytics Programming
R
Revolution MedicinesOncology, real-world evidence
Remote (United States)Full-TimeDirector
Salary186,000 - 233,000 USD per year
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Job Details
- Experience
- 8+ years of statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare research, or related settings for Senior-level candidates.
- Required Skills
- PythonSQLR
Requirements
- BS/MS degree in Statistics, Biostatistics, Computer Science, Data Science, Epidemiology, Mathematics, or a related quantitative discipline.
- 8+ years of statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare research, or related settings for Senior-level candidates.
- Demonstrated experience independently leading programming activities for observational research, HEOR, epidemiology, or real-world evidence studies.
- Strong SAS or R programming experience, including developing analysis datasets and study deliverables from complex healthcare data sources.
- Experience with SQL; working knowledge of R or another programming language for data manipulation, analytics support, and quality control is preferred.
- Experience developing analysis datasets, tables, listings, and figures from complex healthcare or real-world data sources.
- Experience with large healthcare databases, including claims, EHR, genomic, registry, or linked clinical-genomic datasets.
- Strong understanding of observational research workflows and implementation of study specifications.
- Ability to manage multiple projects simultaneously while meeting timelines and quality expectations.
- Preferred: oncology drug development or oncology real-world evidence experience.
- Preferred: Git, version control systems, and reproducible analytics workflows.
Responsibilities
- Lead programming activities for assigned real-world studies from kickoff through final delivery.
- Develop analysis dataset specifications, TLF shells, validation plans, programming documentation, and final study outputs.
- Translate study protocols, SAPs, and analysis specifications into efficient, reproducible programming solutions.
- Develop, validate, and maintain SAS, SQL, R, Python, and other programming solutions for cohorts, endpoints, analysis datasets, and study deliverables.
- Generate and quality-control analysis datasets, tables, listings, and figures in accordance with study specifications and internal standards.
- Implement specified analytic methods, including survival analyses, propensity score approaches, confounding adjustment, and sensitivity analyses.
- Assess data quality, completeness, and fitness-for-purpose across healthcare and oncology real-world data assets.
- Maintain technical documentation, programming specifications, reusable code, macros, and reproducible analytic workflows.
- Collaborate with HEOR/RWE scientists, data scientists, and biostatisticians, communicating assumptions, decisions, timelines, and risks.
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