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Senior Statistical Programmer Analyst
Location
United States
Posted
7 days ago
Salary
Not specified
Job Description
Role Description
This role provides a unique opportunity to contribute to early-stage immuno-oncology clinical programs by leading the development and execution of statistical programming and analyses. You will ensure submission-ready study data packages, maintain compliance with CDISC standards and FDA guidance, and support internal and external stakeholders across biostatistics, clinical operations, and regulatory teams. The position offers hands-on technical work with SAS, R, Python, and Unix, while influencing program quality, efficiency, and innovation. You will operate in a collaborative, fast-paced environment, managing complex datasets, generating TFLs, and creating SDTM/ADaM outputs for regulatory submissions and publications. This contract role allows for remote work within the United States, providing both flexibility and the chance to make a tangible impact on the clinical development pipeline.
- Develop specifications and execute programs for internal data reviews, publications, exploratory, post-hoc, and regulatory analyses
- Ensure study data packages comply with CDISC standards (SDTM, ADaM) and health authority reporting requirements
- Collaborate with clinical data management to review case report forms, database, and data transfer specifications
- Create and review SDTM/ADaM mapping specifications, reviewer’s guides, and define.xml files
- Generate or validate TFLs to support statistical analyses for clinical studies, regulatory submissions, and publications
- Prioritize analytical deliverables strategically, including study-level or integrated analyses for safety signal detection or business needs
- Manage timely and quality delivery of CRO-generated analysis results
Qualifications
- Bachelor’s or Master’s degree in Statistics, Mathematics, Epidemiology, Computer Science, Bioinformatics, or related field
- 8+ years of programming experience in biotechnology or pharmaceutical clinical trial environments
- Expert-level skills in SAS programming, with strong experience in R, Python, Unix scripts, and macro development
- Solid understanding of CDISC standards (SDTM, ADaM), controlled terminology, and regulatory submission requirements
- Ability to translate complex clinical and statistical problems into clear, functional code and tools
- Experience with software development and testing, project management, and programming best practices
- Knowledge of ICH-GCP, 21 CFR Part 11, and relevant clinical R&D concepts
- Excellent written and verbal communication skills, with the ability to manage priorities and collaborate effectively
Benefits
- Competitive contract compensation
- Flexible remote work within the United States
- Exposure to cutting-edge immuno-oncology research and clinical development
- Opportunity to work collaboratively with a growing Biometrics team
- Professional growth through experience with regulatory submissions and complex statistical programming
Job Requirements
- Bachelor’s or Master’s degree in Statistics, Mathematics, Epidemiology, Computer Science, Bioinformatics, or related field
- 8+ years of programming experience in biotechnology or pharmaceutical clinical trial environments
- Expert-level skills in SAS programming, with strong experience in R, Python, Unix scripts, and macro development
- Solid understanding of CDISC standards (SDTM, ADaM), controlled terminology, and regulatory submission requirements
- Ability to translate complex clinical and statistical problems into clear, functional code and tools
- Experience with software development and testing, project management, and programming best practices
- Knowledge of ICH-GCP, 21 CFR Part 11, and relevant clinical R&D concepts
- Excellent written and verbal communication skills, with the ability to manage priorities and collaborate effectively
Benefits
- Competitive contract compensation
- Flexible remote work within the United States
- Exposure to cutting-edge immuno-oncology research and clinical development
- Opportunity to work collaboratively with a growing Biometrics team
- Professional growth through experience with regulatory submissions and complex statistical programming
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