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Strong employer brand, metro location, mid-level experience increases applicant density.
Role requires pharma-specific SDTM/ADaM and GxP knowledge limiting cross-industry transferability.
Explicit years, mandatory SAS/R and SDTM/ADaM regulatory experience makes filters stringent.
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Lead clinical data science setup and execution for clinical trials, including eCRF design, Data Flow Plans, and Blinding Plans within trial squads.
Ensure quality control, compliance, and delivery of SDTM and ADaM datasets, manage submission packages and TFL generation per industry standards and Novo Nordisk specifications.
Coordinate with R&D stakeholders to share expertise, oversee trial execution, collaborate with CROs/vendors, and drive methodological innovation and improvements.
Bachelor's or Master's degree in life sciences, natural sciences, engineering, or equivalent.
3-5 years of statistical programming experience; preferably 1 year in pharmaceutical industry or equivalent relevant experience.
Proficient in SAS or R with experience in clinical trial statistical data handling, analysis and reporting.
Knowledge of GxP guidelines, clinical database technologies, program review, documentation, and drug development processes.
Experienced in clinical data science operational partnership within clinical trial environments, bridging programming and clinical development.
Able to manage multiple priorities and collaborate across diverse teams and regions within a regulated clinical development setting.
Strong analytical skills with a proven track record of delivering high-quality, compliant statistical programming outputs and driving innovation in clinical data science.