
Data Science Leader
4 days ago
Key Role:
The Senior Statistical Programmer drives statistical programming expertise for multiple clinical projects using SAS and delivers expert consultation across the organization.
Responsibilities:
- Provides lead statistical programming support for multiple clinical research study projects or teams.
- Develops programming documentation, writes efficient code, stays updated on programming techniques, and mentors staff members.
- Ensures sound methodologies are adopted by establishing proficiency of programming techniques required for clinical trials research involving CDISC standards and analysis data sets.
- Delivers key outputs based on established proficiency of regulatory requirements for clinical research E-submissions and/or study requirements.
- Writes well-documented, efficient, and high-quality code, conducts code review, supports cross-functional programming activities, and programming validation as needed.
- Maintains awareness of current statistical programming techniques to ensure adoption of sound methodologies.
- Presentations statistical programming topics internally and may present at external conferences.
Qualifications:
- A bachelor's degree plus 4 years' experience in statistical programming as a CDISC/TLF programmer in a Pharmaceutical/CRO environment, education in a scientific discipline preferred.
- Understanding of GCP principles, regulatory standards (e.g. FDA, EMA, ICH), and clinical research practices.
- Strong analytical skills with ability to process scientific and medical data.
- Proficiency in SAS, familiarity with R, Python or other relevant statistical software beneficial.
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