> Markdown version of [/jobs/ext/3971228-statistical-programmer-iii](https://www.wearedevelopers.com/jobs/ext/3971228-statistical-programmer-iii). 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). --- # Statistical Programmer III - **Company:** Katalyst Talent Agency - **Location:** Raleigh, NC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Bioinformatics, Data Visualization, Github, SAP (Applications), SAS (Software), Electronic Medical Records, Gitlab, Git - **Published:** October 27, 2026 - **Apply:** https://www.careerjet.com/job/useb1da0fe7224460c579a79dfc0dc1c73/eaa ## About the Role * Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field with 3-4 years of relevant experience, or a Master's degree with 6-7 years of relevant experience or a bachelor's cdegree with 7-8 years of relevant experience * In addition, you're an analytical thinker and excellent communicator with experience analyzing real-world data (e.g., healthcare claims or electronic health records) * Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab) * Solid experience in creating Tables, Listings, and Graphs using R packages * Create/review programming documents (e.g., programming plan, specification for datasets and output template) * Knowledge of ICH guidelines, FDA / EMA / other regulatory authority guidance from a programming standpoint * Extensive experience with large healthcare-related datasets (e.g., administrative claims, electronic medical records, genomics) * Experience leading teams, either as a manager or project/team lead * Familiar with CDISC conventions, i.e. SDTM and ADaM models (using SAS) and related controlled terminologies, and knowledge or some experience using these models ## Description * Team provides customized real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners * Independently translate analytic specifications from a statistical analysis plan into R code to create analytic datasets, generating descriptive and inferential statistics, data visualizations, often involving Client variables or complex statistical methods, in consultation with the study principal investigator * Serve as subject matter expert on appropriate use cases for, and nuances of, the variety of different Flatiron data modalities, including EHR-derived real-world data, clinico-genomics data, ML-extracted data, and claims data * Develop a proficient understanding of cancer biology, therapy, and/or epidemiology across multiple major tumor types and appropriately apply this understanding when crafting analytic code * Provide mentorship and support to more junior statistical programming staff * Collaborate with cross-functional stakeholders across our medical and scientific organization to execute and deliver on client-sponsored research studies in an accurate, effective, and timely manner * Contribute to continuous improvement of Flatiron's proprietary analytical tooling and templates, at times acting as liaison to the relevant teams and stakeholders * Continue to develop a deeper understanding of real-world data and related methodologies used to generate real-world evidence * Work closely with Epidemiology and Biostatistics to assure output quality by providing expert feedback on SAP, Analytic/TLF specifications from functional perspective