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Senior Clinical Data Scientist
Novo Nordisk. Manage assigned clinical-trial tasks, including SDTM and ADaM deliverables, annotated CRFs, SDTM datasets, ADaM programming, and TFLs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing clinical trial tasks, including SDTM and ADaM deliverables, while ensuring compliance with GCP, GDP, and GPP standards. Proficient in programming with SAS or R and capable of collaborating effectively in a multinational environment.
Highest-signal resume keywords
SAS ProgrammingR ProgrammingSDTM DeliverablesADaM ProgrammingClinical Database Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SDTMADaMECRFsData Flow PlansMock TFLsStatistical ComputingAdvanced Programming TechniquesDocumentation ComplianceGCP StandardsGDP Standards
Soft Skills
Analytical SkillsIndependenceSelf-DriveAccountabilityCommunication Skills
Industry Keywords
Clinical DevelopmentPharmaceutical IndustryRegulatory AuthoritiesChange ManagementBest Practices
Tech Stack
Tools & technologiesGoogle Cloud Platform
About the role
Key responsibilities & impact- Manage assigned clinical-trial tasks, including SDTM and ADaM deliverables, annotated CRFs, SDTM datasets, ADaM programming, and TFLs
- Contribute to trial setup through eCRFs, Data Flow Plans, metadata specifications, mock TFLs, SDRG, ADRG, and Define.xml
- Support CSRs, RMPs, IBs, DSURs, PSURs, and public disclosure deliverables
- Collaborate with CROs, regulatory authorities, internal stakeholders, and scientific communities
- Share best practices and contribute to process optimization and change management
- Provide training and support on statistical computing environments, system usage, and SOPs
- Ensure documentation and programming comply with GCP, GDP, and GPP standards
Requirements
What you’ll need- Bachelor's or Master's degree in life sciences, natural sciences, engineering, or equivalent qualifications
- 2–3 years of programming experience, preferably working with biological data, or equivalent knowledge through relevant practical experience
- Proficiency in programming languages such as SAS or R
- Experience with clinical database technologies, data models, and advanced programming techniques
- Ability to collaborate across professional and regional borders in a multinational environment
- Strong analytical skills, independence, self-drive, and accountability
- Excellent written and spoken English
- Ability to explain technical issues to peers and stakeholders
- Basic understanding of the pharmaceutical industry and clinical development value chain
Benefits
Comp & perks- Continuous learning opportunities
- Personal and professional development
- Autonomy and encouragement to use your voice
- Personal growth opportunities
- Inclusive recruitment process and equality of opportunity