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Strong global pharma brand, metro Hyderabad location, and broad GenAI/ML skill demands increase candidate competition.
Strong preference for pharmaceutical product development domain expertise limits industry transferability.
Explicit 7+ years requirement plus deep technical GenAI/ML stack and regulated pharma domain increase shortlisting strictness.
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Lead identification and development of advanced GenAI, data science, and AI capabilities to transform pharmaceutical product development across chemical, biologics, drug product, and analytical domains.
Collaborate with senior scientific leaders to frame complex scientific problems and translate GenAI solutions into scalable products delivering measurable business outcomes.
Mentor and guide data scientists and AI practitioners while influencing enterprise modeling strategies and best practices in AI-enabled decision making.
Advanced degree in Data Science, Chemical Engineering, Applied Mathematics, or related discipline.
7+ years of experience in Data Science, AI/ML, GenAI, and Digital Innovation.
Deep technical and hands-on experience with AI/ML methods (e.g., supervised/unsupervised learning, deep learning), Generative AI (e.g., LLMs, multi-agent systems), and advanced data science tools/platforms (e.g., Python, TensorFlow, AWS).
Work Experience Required: 7+ years in relevant fields; Pharmaceutical domain experience preferred but not mandatory.
Experienced in partnering with senior scientific stakeholders in pharmaceutical product development or manufacturing to drive AI-based innovation.
Strong problem framing and critical thinking skills to challenge assumptions and navigate ambiguity in complex scientific contexts.
Proven ability to mentor technical teams and influence enterprise AI strategies and investments in a scientific R&D environment.