Manager, Pharmaceutical Product Development GenAI & Data Science

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work.

Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases.

We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it.

Shape the Future of AI-Driven Pharmaceutical Product Development (PD) In our pharmaceutical product development team at Bristol Myers Squibb in Hyderabad, we are focusing on building advanced and emerging GenAI, data science and engineering, and modelling approaches addressing complex challenges across chemical process development, biologics development, drug product development, and analytical development.

We are looking for an experienced professional (scientific manager - individual contributor) focused on advanced GenAI and data science capabilities, ideally with prior domain understanding and context of pharmaceutical product development and manufacturing.

We seek talent who can critically challenge assumptions, frame the right questions, navigate ambiguity, and partner with AI to solve complex scientific problems related to pharmaceutical development.

This exciting opportunity sits at the intersection of science, technology, and innovation to help shape pharmaceutical development and build an environment where human expertise and AI work together to accelerate innovation, enhance productivity in pharmaceutical development, and help bring more robust and high-quality medicines to our patients faster.

What You Will Do Partner with senior scientific functional leaders and scientists across Chemical Process Development, Biologics Development, Drug Product Development, and Analytical Development to identify opportunities where AI and GenAI can create transformative business impact.

Drive development of next-generation capabilities spanning GenAI, Agentic AI, Machine Learning, Knowledge Discovery, and Decision Intelligence.

Establish best practices for critical thinking, problem framing, and AI-enabled decision making.

Influence enterprise modelling strategy and investments across Product Development.

Mentor data scientists and AI practitioners in the team and build a culture that balances technical excellence with curiosity, courage, and collaboration.

Translate emerging GenAI capabilities into scalable products that generate measurable business outcomes and value.

What Makes You Successful You understand that the most valuable skill in the era of AI is not model building, but problem framing, and critically probing problem statements, AI output, and assumptions.

You should be comfortable with: Challenging assumptions before accepting requirements.

Asking first-principles questions.

Navigating ambiguity and shaping incomplete ideas into meaningful next steps through collaboration with PD functions.

Building trust across technical and non-technical stakeholder groups.

Communicating complex concepts with clarity and executive presence.

Inspiring teams through influence rather than authority.

Qualifications Advanced degree in Data Science, Chemical Engineering, Applied Mathematics, or a related discipline. 7+ years of experience in Data Science, AI/ML, GenAI, and Digital Innovation.

Demonstrated experience working in advanced innovation teams and influencing senior stakeholders.

Deep expertise in Machine Learning, AI, GenAI with deep technical and hands on experience in the following areas: Artificial Intelligence & Machine Learning Statistics, Supervised & Unsupervised Learning, Bayesian Modelling, Probabilistic approaches, Cluster Analysis, Deep Learning, Time-Series Modelling, Causal Inference, Optimization Generative AI Large Language Models, Reasoning Models, Retrieval-Augmented Generation (RAG), Agentic Workflow Design, Multi-Agent Systems, Knowledge Graph Integration, LLM Evaluation Frameworks, Synthetic Data Generation, AI Safety & Guardrails, Human-in-the-Loop AI Systems Advanced Data Science Tools/Platforms PySpark, Python, TensorFlow, XGBoost, LightGBM, LangChain, LangGraph, MLflow AWS, Databricks, Hugging Face, CI/CD Pipelines, Feature Stores, Vector Databases, Model Serving Frameworks Strong track record of delivering business impact through data-driven solutions.

Preferred Experience Domain understanding of pharmaceutical product development and/or manufacturing domain.

Agentic AI architectures.

AI governance and responsible AI frameworks.

Some prior exposure to hybrid mechanistic-AI approaches, physics informed ML Contributions to building and scaling data science organizations.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

How We Work Where you work matters – because collaboration, innovation and patient impact happen in many settings.

Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design.

The model assigned to this role is based on its core responsibilities.

Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles.

Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer.

If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com .

Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights BMS will consider qual