Back
Tier-1 pharma brand and metro location but senior, specialized MSAT requirement reduces applicant density.
Role requires pharmaceutical MSAT domain knowledge and regulatory experience, limiting cross-industry transferability.
Explicit 10–16 years, pharma MSAT experience, regulatory expertise and programming make filters highly stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead data science initiatives across global supply chain, focusing on process understanding, problem solving, and optimization of product lifecycle stages including new product introduction and established product quality.
Design, develop, validate, and maintain complex quantitative models to support strategic decisions and business improvements, ensuring regulatory compliance and data-driven insights delivery.
Manage and grow data science capabilities within the team and broader organization, including mentoring, standardizing methodologies, and engaging with internal/external stakeholders and regulatory authorities.
Masters or PhD in data science, computer science, statistics, mathematics, or related field.
10-16 years of experience in pharmaceutical or biopharmaceutical MSAT applying data science and programming, preferably in a pharmaceutical industry with multicultural team exposure.
Strong programming skills in at least one scientific language such as Python, R, or MATLAB.
Location: India-based role with hybrid work; occasional travel required.
Experienced in operating within multidisciplinary global pharmaceutical or biopharmaceutical supply chain teams, influencing both technical and regulatory stakeholders.
Demonstrates expertise in advanced data science applications aligned with regulatory frameworks (ICH, FDA, EMA) and pharma quality processes.
Skilled in leading teams and cross-functional collaborations, with proven ability to translate complex data insights into actionable business outcomes at strategic levels.