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Principal Data Scientist Consultant, R, CDISC
ClinChoicePrincipal Data Scientist Consultant developing SDTM and ADaM datasets for clinical trials at ClinChoice. Collaborating with biostatistics and clinical teams while ensuring regulatory compliance.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and validating SDTM and ADaM datasets using R, adhering to CDISC standards, while ensuring compliance with regulatory expectations. Proficient in clinical programming, data analysis, and collaboration with cross-functional teams to deliver high-quality clinical data outputs.
Highest-signal resume keywords
R ProgrammingSDTM Dataset CreationADaM Dataset CreationSAS ProgrammingCDISC Standards
ATS Keywords
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Hard Skills
Clinical ProgrammingData AnalysisQC ProcessesReproducible R ScriptsData Reconciliation
Soft Skills
Analytical SkillsProblem-Solving SkillsDocumentation Skills
Tools & Technologies
RSAS
Industry Keywords
Clinical Trial DataRegulatory SubmissionsFDAEMA
About the role
Key responsibilities & impact- Develop, validate, and maintain SDTM and ADaM datasets using R following CDISC standards.
- Support TLF (Tables, Listings, Figures) generation in R or SAS as needed.
- Write efficient, reproducible, and well-structured R scripts for clinical data analysis and reporting.
- Collaborate with statisticians, data managers, and clinical teams to understand programming requirements.
- Perform QC checks, reconcile data issues, and ensure deliverables meet regulatory expectations (e.g., FDA, EMA).
- Contribute to programming workflows, documentation, and version control best practices.
- Support automation initiatives and R-based pipeline development.
- Utilize SAS for legacy studies or where SAS support is required.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field.
- 4–6+ years of experience in clinical programming, with a strong focus on R.
- Proven experience in creating SDTM and ADaM datasets using R.
- Working knowledge of SAS programming.
- Solid understanding of CDISC standards (SDTM, ADaM).
- Experience with clinical trial data, regulatory submissions, and QC processes.
- Strong analytical, problem-solving, and documentation skills.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
- Flexible work arrangements