> Markdown version of [/jobs/ext/3571947-manager-statistical-programming](https://www.wearedevelopers.com/jobs/ext/3571947-manager-statistical-programming). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Statistical Programming - **Company:** Rezolute, Inc. - **Location:** United States (Remote available) - **Experience:** Starter - **Salary:** $160,000.0 - $195,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Clinical Data Management, Clinical Data Repository, Computer Programming, Programming Tools, R (Programming Language), Python (Programming Language), SAS (Software), SQL Databases, Visual Analytics, Extensible Markup Language (XML), Data Processing, Information Technology, Statistics Packages, Data Management - **Published:** October 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1e52cf944162f2ff ## About the Role * BS/BA in Statistics, Computer Science, Mathematics, Life Sciences, or a related field; MS preferred. * 8+ years of statistical programming experience in pharma, biotech, or CRO with a BS, or 6+ years with an MS. * 1-2 years of experience supervising programmers or serving as lead programmer on a study. * Strong SAS skills (Base, Macro, SQL, STAT, ODS/Graph). * Working proficiency in R for clinical data manipulation, analysis, and reporting (e.g., tidyverse, admiral, gt, rtables, or similar). * Experience developing R Shiny applications for interactive data review, safety monitoring, or visualization of clinical trial data is a plus. * Working knowledge of CDISC SDTM and ADaM, controlled terminology, and Define-XML. * Familiarity with ICH guidelines and GCP; exposure to a regulatory submission is a plus. * Experience with Python for automation, data processing, or tooling is a plus. * Clear written and verbal communication; comfortable working directly with statisticians and clinical teams. ## Description The Manager of Statistical Programming is responsible for delivering study-level programming deliverables and milestones. The role combines hands-on programming in SAS and R with oversight of a small team or of CRO programmers assigned to a study., The position requires working knowledge of statistical programming languages and software, clinical trial data, and the drug development process. The incumbent develops and oversees programs that generate CDISC-compliant SDTM and ADaM datasets, TLFs, and reports supporting the review of clinical data. The incumbent also writes validation programs and general-purpose code, prepares documentation to support electronic submissions, and contributes to programming standards and templates., * Plans and delivers statistical programming for assigned studies in support of clinical trials, regulatory submissions, publications, and ad hoc analysis requests, following applicable regulatory guidelines and standards. * Tracks programming timelines for assigned studies and flags risks to the Director so deliverables stay aligned with the study schedule. * Creates or oversees the creation of CDISC-compliant SDTM and ADaM datasets, and performs conformance checks (e.g., Pinnacle 21) before delivery. * Develops and validates TLFs and analysis datasets using SAS and R; performs independent QC of programming produced by others, including cross-language validation where appropriate. * Assigns and reviews the work of a small team of internal programmers and/or CRO programmers; provides day-to-day direction, feedback, and mentoring. * Reviews CRO deliverables, specifications, and documentation for quality and standards compliance, and escalates issues as needed. * Participates in study meetings with Clinical Operations, Data Management, Safety, and Biostatistics to develop specifications and reports. * Writes and maintains batch scripts to schedule SAS and R jobs and distribute reports to the clinical team. * Prepares programming documentation supporting electronic submissions, including define.xml inputs and reviewer guide content. * Contributes to the development of SAS macros, R functions, standards, templates, and SOPs, and to cross-functional initiatives. * Provides input on programming tools and infrastructure needs, including SAS and R environments, and works with IT as needed.