Associate Director, Real-World Analytics Programming

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.