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Known pharma brand, Bengaluru metro, and broad, non-niche skillset create high candidate competition.
Role requires clinical development and regulatory expertise, making background fit highly industry-specific.
Regulatory requirements, CDISC, advanced degrees, and 8+ years' experience create high shortlisting strictness.
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Lead clinical data science strategy and delivery across assigned studies or assets, aligning with development objectives and quality standards.
Design and execute advanced quantitative analyses including predictive modeling, simulation, and data integration for clinical development decisions.
Oversee scientific and technical quality of analyses, mentor junior staff, and drive innovation through AI/ML and automation in regulated clinical environments.
PhD with 5+ years or MS with 8+ years relevant experience in statistics, data science, or related quantitative sciences.
Significant experience in clinical development within pharmaceutical/biotech/healthcare research with cross-functional influence.
Proficiency in R and/or Python; working knowledge of SAS and SQL; understanding of CDISC standards and regulatory expectations.
Work Experience Required: 5+ years for PhD holders or 8+ years for MS holders; Location: Bengaluru, India.
Experience leading clinical data science projects in regulated pharmaceutical or biotech environments, with strong cross-functional collaboration skills.
Demonstrated ability to manage vendor relationships, provide technical leadership, and mentor junior colleagues.
Expertise in applying advanced analytics and AI/ML methods to diverse clinical data types while ensuring compliance with regulatory standards.