Senior Statistical R ProgrammerKatalyst CRO • San Francisco, CA, United States
Senior Statistical R Programmer
Katalyst CRO • San Francisco, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]At minimum, a bachelor's degree in Statistics, Biostatistics, Data Science, Mathematics, or a related field is required. At least five years of experience as a Statistical Programmer on a Biotech / Pharma Clinical Development Biometrics Team or with a similar team and experience supporting drug development, medical device development, or intervention studies. Demonstrated ability to effectively lead projects and collaborate cross-functionally. Exceptional R programming skills (including tidy verse, Markdown, Shiny, HTML widgets, development of R packages, working with IT staff to build R infrastructure), experience applying software development concepts, well versed in reproducible research methods, and proficiency in using code repositories like Git / GitHub (or similar tools) for collaboration and versioning of operational, robust, and well documented code. Able to work in a Linux / Unix environment (including shell scripting). Applied experience with SDTM or ADaM CDISC data. Demonstrated experience in creating compelling data visualizations to help teams make correct data driven decisions and effectively communicating results to team members. Able to demonstrate a solid understanding of statistical principles and methods used in clinical study reports or scientific publication analyses. Associate Contract Information Technology Pharmaceutical Manufacturing
Overview
Join to apply for the Senior Statistical R Programmer role at Katalyst CRO .
Responsibilities
- Lead statistical programming deliverables including : generation of data visualizations or summary reports to support internal decision making and regulatory interactions (IND / CTA filings, annual safety reporting, etc.); providing input for statistical analysis plans, study protocols and clinical study reports; reviewing study randomization specifications; collaborating with Clinical Data Management on case report form design, data review plans, and external data transfer specifications; collaboration with the study team to review data and manage timelines; oversight of Biometrics CRO deliverables.
- Design, develop, and validate CDISC analysis data (i.e., SDTM, ADaM) for use with statistical reporting code and analytics applications.
- Develop and manage reusable code for interactive data visualization, exploratory analysis, and statistical summaries in clinical study reports.
- Work with the Biometrics Team to establish innovative processes to ensure high data quality, reporting of analysis results, and analysis reproducibility.
- Support the Biometrics Team in efforts to build, maintain, and continuously improve an R infrastructure that is suitable for regulatory submission work.
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