Manager, Pharmaceutical Product Development GenAI & Data Science

Bristol Myers Squibb; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Bristol Myers Squibb in Hyderabad is seeking an experienced Scientific Manager - individual contributor to advance GenAI, data science, and modelling across pharmaceutical product development including chemical, biologics, drug product, and analytical development.

The role emphasizes challenging assumptions, framing problems, building trust with PD functions, and translating AI insights into scalable products that deliver measurable business impact.

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: AI/ML, GenAI, and associated tooling.

Responsibilities

• Partner with senior scientific leaders across PD to identify opportunities where AI/GenAI can create transformative business impact.
• Drive development of capabilities spanning GenAI, Agentic AI, ML, 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, fostering technical excellence with collaboration.
• Translate GenAI capabilities into scalable products delivering measurable business outcomes.

Skills

GenAI & Data Science

AI/ML & GenAI Capabilities

Problem Framing & Critical Thinking

Stakeholder Collaboration

Education

Advanced degree in Data Science, Chemical Engineering, Applied Mathematics

Tools

PySpark

Python

TensorFlow

XGBoost

LangChain

LangGraph

MLflow

Job description

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.

With a single vision as inspiring as Transforming patients lives through science, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role.