Associate Director, Real-World Analytics Programming

revolutionmedicines; EE. UU.; A distancia; USD 186.000 - 233.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity awards

Learning and development

Strong benefits

Descripción de la vacante

Revolution Medicines is seeking an Associate Director-level Statistical Programmer for Real-World Analytics in oncology. You will lead programming for observational studies, translating study designs into reproducible analysis solutions.

The role requires collaboration with HEOR/RWE scientists, data scientists, and biostatisticians to deliver high-quality outputs. You will develop, validate, and maintain SAS, SQL, R, Python code, and contribute to standards while mentoring junior programmers in

Formación

• Significant experience as a statistical programmer for real-world evidence or observational studies.
• Proficiency in SAS, SQL, R, Python for analysis-grade code development and validation.
• Experience with oncology real-world data and analytic methods is preferred.

Responsabilidades

• Lead programming for assigned real-world observational studies from kickoff to delivery.
• Create analysis datasets, TLF shells, validation plans, and final study outputs.
• Develop scalable, reproducible code and validate results across SAS/SQL/R/Python.
• Collaborate with HEOR/RWE scientists, data scientists and biostatisticians.
• Mentor junior programmers and contribute to programming standards.

Herramientas

SAS

SQL

R

Python

Survival analysis

Propensity scores

Version control (Git)

Data quality assessment

Descripción del empleo

Role overview

An Associate Director-level statistical programming role within Real-World Analytics, serving as the lead statistical programmer for assigned observational research studies in oncology. The position partners closely with HEOR/RWE scientists, data scientists, and biostatisticians to translate study protocols and analysis specifications into reproducible, high-quality programming solutions. It is well suited to a senior programmer who can manage multiple studies in a fast-paced, science-driven environment.

Responsibilities

• Serve as the lead statistical programmer for assigned real-world studies, managing programming activities from study kickoff through final delivery.
• Lead deliverables including analysis dataset specifications, TLF shells, validation plans, programming documentation, and final study outputs.
• Translate study designs and analytic specifications into efficient, scalable, and reproducible programming solutions, including cohort construction, endpoint derivation, and analysis dataset creation.
• Develop, validate, and maintain SAS, SQL, R, Python, and other programming solutions, and generate and quality-control analysis datasets, tables, listings, and figures.
• Work with multiple oncology-focused real-world data assets, including claims, electronic health records, genomic testing databases, and linked clinical-genomic datasets.
• Contribute to real-world programming standards, quality frameworks, and best practices, and provide technical guidance to junior programmers as appropriate.

Requirements

• Significant experience as a statistical programmer supporting real-world evidence, HEOR, or observational research studies.
• Strong proficiency in SAS, SQL, R, and Python, with the ability to independently develop, validate, and maintain analysis-grade code.
• Deep understanding of oncology-relevant analytic methods such as survival analyses, propensity score approaches, confounding adjustment, and sensitivity analyses.
• Experience assessing data quality, completeness, and fitness-for-purpose across claims, EHR, and clinical-genomic datasets.
• Familiarity with version control tools such as Git and reproducible analytics workflows.
• Experience developing reusable programming frameworks, standardized macros, and validation tools, ideally in a fast-paced and growing biotechnology organization.

Benefits and work setup

• Remote work setup with a base pay salary range of $186,000 to $233,000 USD for candidates working onsite at the Redwood City, CA headquarters, adjusted for local market based on role, level, and location.
• Total rewards package that includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.