Data Product Engineer II, R&D BI&T

Bristol Myers Squibb is seeking a Data Product Engineer II to collaborate with Molecular Invention (MI) researchers, data scientists, and cross-functional partners. This role involves developing and implementing data engineering solutions, building and maintaining data infrastructure, and ensuring data quality. The engineer will champion data governance best practices and deliver high-quality, contextualized, and AI-ready data products to enable scientific workflows, predictive use cases, and advanced analytics, ultimately transforming the lives of patients.

Must Have

• Collaborate with MI researchers, data scientists, and cross-functional partners to integrate diverse data sources.
• Develop and implement data engineering solutions, including data modeling and entity-relationship structures.
• Build, maintain, and enhance data infrastructure, pipelines, and automation processes.
• Implement and oversee rigorous data quality checks, validation processes, and performance monitoring.
• Champion data governance best practices (metadata management, FAIR principles, quality control).
• Proficiency in SQL and experience with relational databases.
• Proficiency in programming languages such as Python.
• Familiarity with cloud & multiverse platforms and AWS-based engineering technologies (Glue, Lambda, CFT, DMS).
• Experience working in an agile development environment such as Scrum or Kanban.

Good to Have

• Experience building data products.
• Experience working with Discovery Researchers or platforms relevant to Life Sciences systems.
• Understanding data visualization and analytics concepts and tools like Spotfire.
• Experience with GenAI and LLM technologies.

Perks & Benefits

• Benefits and Wellbeing (Global platform and benefits for physical, mental, financial and social wellbeing)
• Recognition (Global platform to reward your achievements)
• Time Off (Generous time off to rest and recharge)
• Health Benefits (Best-in-class benefits)
• 8 People & Business Resource Groups

Life at BMS

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.

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.

Position Responsibilities:​

• Collaborate with Molecular Invention (MI) researchers, data scientists, Domain Analysts, BI&T, and cross-functional partners - including research scientists, informaticians, and computational modelers - to gather, model, and integrate diverse structured and unstructured data sources (experiment/study reports, lab instrument data, chemical/protein information, external datasets), delivering high-quality, contextualized, and AI-ready data products.
• Develop and implement data engineering solutions - including data modeling and entity-relationship structures - to enable scientific workflows, predictive use cases, and advanced analytics.
• Build, maintain, and enhance data infrastructure, pipelines, and automation processes for the efficient ingestion, cleaning, validation, and analysis of diverse scientific data sources.
• Implement and oversee rigorous data quality checks, validation processes, and performance monitoring to ensure data accuracy, reliability, and timely delivery of insights.
• Champion data governance best practices (metadata management, cross-source consistency, FAIR principles, error resolution, taxonomy, and quality control).
• Support onboarding for new data products and knowledge transfer, maintaining detailed documentation for product designs, processes, usage, and continuity.
• Advocate adoption of Research Data Ecosystem platforms and advanced analytical/AI tools, connecting technical peers to effective data-driven solutions.
• Drive innovation by staying current with emerging technologies and industry trends (data engineering, Drug Discovery, GenAI, LLMs) and partnering with Platform teams to enhance data product offerings and operational efficiency.
• Foster a collaborative, accountable, and innovative technical culture through networking and proactive engagement.
• Support global collaboration with work hours overlapping research and IT sites in the Western US, Eastern US, Hyderabad, and Bangalore.

Skills & Competencies:

• Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.
• Ability to work with diverse teams across organizational lines and structures.
• Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
• Desire to work in a fast-paced, dynamic environment.
• Passion for technology and driving impactful outcomes for patients.

Desired Experience:

• Bachelor or graduate-level degree in a pharmaceutically relevant scientific domain, Computer Science, Information Technology, or related discipline or commensurate industry experience.
• Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience.
• Experience in data engineering, such as knowledge of SQL and experience with relational databases. Experience building data products a plus.
• Experience working with Discovery Researchers or platforms relevant to the Life Sciences systems a strong plus.
• Proficiency in programming languages such as Python; and the ability to transition to new languages.
• Familiarity with cloud & multiverse platforms and AWS-based engineering technologies (Glue, Lambda, CFT, DMS, etc.).
• Understanding data visualization and analytics concepts and tools like Spotfire.
• Experience working in an agile development environment such as Scrum or Kanban. Demonstrated ability to manage a backlog, prioritize features, and deliver iterative product value.
• Experience with GenAI and LLM technologies is a strong plus.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

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:

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 adastaffingsupport@bms.com.

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.