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Strong GSK brand, Bangalore metro, and common Data Scientist title increase qualified applicant competition.
Requires deep pharmaceutical MSAT and regulatory expertise, limiting transferability across industries.
Explicit 10-16 years in pharmaceutical MSAT plus regulatory and domain-specific requirements creates strict filtering.
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Lead data science initiatives to accelerate data-driven process understanding and problem solving in Global Supply Chain focusing on new product introduction and established product lifecycle management.
Own design, development, validation, monitoring, and communication of complex quantitative and analytical models that inform strategic direction and improve manufacturing and supply chain performance.
Lead capability building and standardization of data science methodologies globally; mentor team members; influence internal policies and external regulatory interactions related to data science applications.
Master’s degree or PhD in data science, computer science, statistics, mathematics, or related field.
10-16 years’ experience in pharmaceutical or biopharmaceutical MSAT applying data science and programming, preferably in pharmaceutical industry and multicultural teams.
Strong programming skills in scientific languages like Python, R, and experience with GitHub.
Fluency in English; second language such as French, German or Italian desirable; knowledge of relevant pharma regulations (ICH, USP, EMA, FDA) required.
Senior-level subject matter expert familiar with pharmaceutical manufacturing science and technology, especially MSAT and product lifecycle management.
Experienced leader with demonstrable ability to guide cross-functional global teams, develop others, and work with regulatory authorities internationally.
Effective communicator skilled at translating complex data science concepts into actionable insights for diverse, global stakeholders including executives and regulators.