Associate Director/Director of Statistical Programming
| Company | Recursion Pharmaceuticals |
|---|---|
| Location | Salt Lake City, UT, USA, London, UK, Toronto, ON, Canada, New York, NY, USA |
| Salary | $162000 – $228000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- BS/MS degree in life science, computer science, statistics, mathematics, or equivalent relevant degree.
- 8+ years of statistics and programming experience with advanced knowledge in pharmaceutical, biotechnology industries, and 5+ years of serving as Lead Statistical Programmer across multiple therapeutic areas.
- Demonstrated proficiency in SAS, R, and R-Shiny and mastery of complex graphing techniques to derive analysis datasets, produce tables, figures and listings, and conduct exploratory analyses.
- Skilled in developing open-source R packages and visual analytics for exploratory and interactive data analysis, visualization, and insight generation.
- Expert knowledge of data standards including CDISC, SDTM, and ADaM, and relevant regulatory guidelines.
- Experience with regulatory submissions in the US, Europe, and other regions.
- Excellent interpersonal and communications skills including ability of conflict management and resolution.
Responsibilities
- Lead statistical programming activities across clinical programs, ensuring the development and quality control of tables, listings, figures, analysis datasets. Conduct exploratory statistical analysis to support key decision-making.
- Oversee external functional service providers to ensure timely and high-quality programming deliverables.
- Develop and maintain standards, guidance, applications, and processes for Statistical Programming operations in adherence with ICH and regulatory requirements.
- Drive the adoption of innovative programming technologies and workflows to enhance the efficiency of clinical data review, cleaning, reconciliation, and integration. Additionally, develop analytics tools that enable effective data monitoring and knowledge discovery of clinical data.
Preferred Qualifications
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No preferred qualifications provided.