Associate Director, Clinical Data Scientist - Statistics

Overview

Associate Director-level clinical data science leader driving statistical and advanced analytics from complex clinical, biomarker, and external data into decision-ready evidence for clinical development.

What you'll do

• Design and/or execute quantitative analyses using clinical trial, biomarker, real-world, and external data.
• Apply statistical, machine learning, simulation, and visualization methods for patient-level prediction and evidence generation.
• Deliver end-to-end analyses from hypothesis formulation and experimental design through reporting and documentation.
• Lead clinical data science strategy and delivery for assigned studies, assets, or capability areas with quality and timeline alignment.
• Provide oversight of internal and external partners’ analysis plans, code, outputs, and interpretation.
• Define requirements for model-ready datasets and analytics-ready data flows for regulated use.

What you'll need

• PhD in a relevant field with 5+ years of relevant experience, or MS with 8+ years of relevant experience.
• Experience in clinical development in pharmaceutical/biotech/healthcare research environments with cross-functional influence.
• Technical leadership, matrix leadership, vendor oversight, and/or mentorship experience.
• Advanced knowledge of clinical trial design, drug development, endpoints/estimands, biomarkers, and data interpretation.
• Strong statistical/quantitative methods background including longitudinal analysis, survival methods, causal reasoning, simulation, and uncertainty communication.
• Hands-on SAS proficiency plus working knowledge of R and/or Python and SQL.
• Working knowledge of CDISC standards (SDTM, ADaM, controlled terminology, Define-XML concepts).

Details

• Location: Bengaluru, Research and Development, India.
• Employment type: full time (Regular) employee.