Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 pharma brand and Bangalore location increase competition, but niche clinical-statistics skills moderate density.
Clinical-trial, CDISC, and regulatory expertise limits transferability across industries.
Explicit senior years, domain-specific technical and regulatory requirements make shortlisting highly stringent.
Lead statistical and advanced clinical data science approaches across studies to generate actionable clinical development insights.
Provide scientific and technical oversight of internal and external partners ensuring quality, traceability, and regulatory compliance of data analyses and submissions.
Drive adoption of modern analytics including AI/ML, automation, reusable workflows, and build clinical data science strategy aligned with development objectives.
PhD in quantitative sciences with 5+ years experience or MS with 8+ years experience in clinical data science.
Significant experience in clinical development within pharmaceutical/biotech or healthcare research with cross-functional influence.
Hands-on proficiency in SAS; working knowledge of R/Python and SQL; and familiarity with CDISC standards (SDTM, ADaM, Define-XML).
Work Experience Required: 5+ years post-PhD or 8+ years post-MS relevant experience.
Experienced leader capable of managing data science delivery for multiple studies/assets with vendor and stakeholder oversight.
Strong quantitative and clinical development background combining statistical methods, machine learning, and clinical trials expertise.
Pragmatic operator balancing scientific rigor with timely delivery and regulatory considerations in a matrix environment involving cross-functional leadership.