Note: The job is a remote job and is open to candidates in USA. Revolution Medicines is a global oncology biotechnology company developing medicines for patients with RAS-addicted cancers. The Associate Director, Real-World Analytics Programming will lead statistical programming for real-world analytics studies, translating protocols and analysis specifications into reproducible study outputs. The role collaborates with HEOR/RWE scientists, data scientists, biostatisticians, and other stakeholders across observational research programs.
Responsibilities
- Serves as the lead statistical programmer for assigned real-world studies and manage programming activities from study kickoff through final delivery
- Leads programming deliverables from study initiation through final report, including analysis dataset specifications, TLF shells, validation plans, programming documentation, and final study outputs
- Reviews and understand study-specific documents including protocols, SAPs, analysis specifications, and study concept documents to ensure accurate implementation of study requirements
- Translates study designs and analytic specifications into efficient, scalable, and reproducible programming solutions
- Independently develops, validates, and maintains SAS, SQL, R, Python, and other programming solutions for cohort construction, endpoint derivation, analysis dataset creation, and study deliverables
- Generates and quality-control analysis datasets, tables, listings, and figures (TLFs) in accordance with study protocols, SAPs, analysis specifications, and internal standards
- Supports a broad range of HEOR/RWE studies, including treatment pattern analyses, burden of illness studies, comparative effectiveness and safety studies, natural history studies, and external control arm analyses
- Implements and validate analytic methods specified in study protocols and SAPs, including survival analyses, propensity score approaches, confounding adjustment methods, and sensitivity analyses
- Works with multiple oncology-focused real-world data assets, including claims, electronic health records (EHR), genomic testing databases, and linked clinical-genomic datasets
- Assesses data quality, completeness, and fitness-for-purpose and provide recommendations regarding data availability and implementation feasibility
- Independently performs quality control and validation activities for programming code, analysis datasets, and study outputs
- Develops and maintains technical documentation, programming specifications, reusable code, macros, and reproducible analytic workflows for assigned studies
- Collaborates closely with HEOR/RWE scientists, Data Scientists, and Biostatisticians to ensure accurate implementation of study methodologies and successful delivery of study objectives
- Communicates programming assumptions, implementation decisions, timelines, and risks to study teams and stakeholders
- Contributes to real-world programming standards, quality frameworks, and best practices.Provides technical guidance to junior programmers as appropriate
- Stays current with evolving industry best practices, technologies, and regulatory expectations related to oncology real-world data and evidence generation
Skills
- 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 required, including experience developing analysis datasets and study deliverables from complex healthcare data sources
- Experience with SQL required
- Working knowledge of R or other programming language for data manipulation, analytics support, and quality control activities preferred
- Experience developing analysis datasets, tables, listings, and figures (TLFs) from complex healthcare or real-world data sources
- Experience working 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
- Demonstrated ability to manage multiple projects simultaneously while meeting timelines and quality expectations
- Excellent written and verbal communication skills
- Strong analytical, problem-solving, and organizational skills with exceptional attention to detail
- Thrives in a collaborative team environment and is motivated to drive high-quality technical execution and continuous process improvement
- Oncology drug development or oncology real-world evidence experience
- Experience working with major oncology or healthcare real-world data assets, such as Flatiron Health, ConcertAI, COTA, Tempus, Guardant, Merative MarketScan, Komodo, Optum, TriNetX, or similar datasets
- Experience supporting HTA, market access, indirect treatment comparison (ITC), external control arm, or regulatory-grade real-world evidence studies
- Experience developing reusable programming frameworks, standardized macros, and validation tools
- Experience with Git, version control systems, and reproducible analytics workflows
- Experience working in a fast-paced and growing biotechnology organization
Benefits
- Competitive cash compensation
- Robust equity awards
- Strong benefits
- Significant learning and development opportunities
Company Overview
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