remote
Principal Data Scientist Consultant - ClinChoice
Data Scientist
Lead advanced analytics for a clinical sponsor, designing and implementing statistical models, SDTM pipelines, and machine‑learning solutions using R while guiding cross‑functional teams in a CRO environment.
About the role
Key Responsibilities
- Design, develop, and validate SDTM datasets and analytical pipelines for clinical trial data using R.
- Lead statistical modeling and machine‑learning projects to generate insights for study outcomes and regulatory submissions.
- Collaborate with biostatisticians, data managers, and clinical programmers to ensure data integrity and compliance with CDISC standards.
- Provide technical mentorship and guidance to junior data scientists and programmers across multiple therapeutic areas.
- Communicate findings and recommendations to sponsor stakeholders, translating complex analyses into actionable business decisions.
Requirements
- Advanced proficiency in R with extensive experience in clinical programming and CDISC SDTM implementation.
- Strong background in statistical modeling, hypothesis testing, and machine‑learning techniques applied to clinical data.
- Minimum 8 years of experience in pharmaceutical or CRO settings, including hands‑on work with clinical trial datasets.
- Excellent problem‑solving skills and ability to work independently while collaborating with cross‑functional teams.
- Effective communication skills, both written and verbal, for presenting technical results to non‑technical audiences.