Manager, Pharmaceutical Product Development GenAI & Data Science

Bristol-Myers Squibb; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Bristol Myers Squibb in Hyderabad is seeking an experienced scientific manager - individual contributor focused on GenAI, data science and advanced AI capabilities to accelerate pharmaceutical product development. You will collaborate with PD teams to shape AI strategy and deliver scalable analytics solutions that improve drug development processes.

Candidates should have 7+ years in Data Science/AI, an advanced degree, and deep expertise in ML, GenAI, and related tooling.

Qualifications

• 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 expertise in ML/AI/GenAI with hands-on experience in multiple ML tooling and platforms.

Responsibilities

• Partner with senior scientific leaders across PD functions to identify AI opportunities with business impact.
• Drive development of GenAI, ML, knowledge discovery and decision intelligence capabilities.
• Establish best practices for problem framing, AI-enabled decision making and governance.
• Translate GenAI capabilities into scalable products delivering measurable outcomes.

Skills

GenAI

Data Science

ML

Python

Education

Advanced degree in Data Science

Tools

PySpark

Python

TensorFlow

XGBoost

Job description

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

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.

• 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.

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: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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 [e-mail].

Equal Employment Opportunity

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

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [e-mail]. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1605511 : Manager, Pharmaceutical Product Development GenAI & Data Science Data Privacy Link

We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.