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Niche CDISC/SAS skills and lead-level seniority reduce applicant density despite metro and known CRO.
Clinical SAS/CDISC focus makes skills industry-specific and less transferable across domains.
Mandatory SAS/CDISC expertise, regulated clinical environment, and lead-level domain experience imply high filtering.
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Lead design, development, and validation of clinical data science programming solutions for clinical trials.
Manage and support day-to-day clinical data science activities and team deliverables.
Mentor junior programmers and provide technical leadership within the programming team.
Bachelor's degree in life sciences, computer science, or related discipline.
Extensive clinical data programming experience with proficiency in SAS, R, or similar languages.
In-depth knowledge of clinical trial data structures, CDISC standards (SDTM, ADaM), and regulatory requirements.
Willingness to travel approximately 10%.
Experienced in managing multiple clinical data science projects and priorities simultaneously.
Able to collaborate effectively with cross-functional teams including biostatisticians and data managers.
Strong leadership skills demonstrated by mentoring and guiding programming teams.