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.
Build the data foundation that helps us get to an AI native state
Advanced AI is only as powerful as the data that enables it.
We are seeking an early-career Data Engineer passionate about creating high-quality scientific data products and contributing to the development of data fabric to support advanced analytics, AI, machine learning, and scientific decision-making across Pharmaceutical Product Development.
The ideal candidate will be an engineer who sees data not as a collection of tables, but as a strategic asset that powers scientific discovery and AI innovation. This role will provide an opportunity to work on complex datasets, modern cloud technologies, and cutting-edge digital transformation initiatives, with applications across chemical process development, biologics development, drug product development, and analytical development.
What You Will Do
- Build scientific data products for product development focused on datasets for molecular features, material properties, laboratory data, process and manufacturing parameters, stability and product performance data.
- Contribute to initiatives for data structuring and data contextualization.
- Develop and maintain scalable data pipelines supporting analytics, AI, and scientific modelling initiatives.
- Transform raw scientific and operational data into trusted, model-ready data products.
- Work with cross-functional teams to improve data accessibility, reliability, and quality.
- Support enterprise initiatives involving Databricks, Data Fabric, and cloud-native architectures.
- Automate data workflows and reduce manual effort through engineering best practices.
- Contribute to development of reusable data assets supporting Product Development innovation across US, Europe and India.
What Makes You Successful
You are naturally curious and:
- Ask why before asking how.
- Investigate root causes rather than treating symptoms.
- Enjoy solving messy, ambiguous data problems.
- Balance technical rigor with practical execution.
- Work effectively with scientists, analysts, data scientists, and engineers.
Qualifications
- Bachelor's or Master’s degree in Computer Science, Chemical Engineering, Information Systems, Bioinformatics, Biotechnology or related field with 2+ years of industry experience.
- Technical hands-on experience with modern data technologies.
- Data Engineering: SQL, Python, ETL/ELT Development, Delta Lake, Lakehouse Architecture, Medallion Architecture, Data Modelling, Data Warehousing, Distributed Computing, Data Validation
- Cloud & Modern Data Platforms: Databricks, dbt, AWS
- Modern Data Practices: Data Product Design, Vector Databases, Data Quality Engineering, Data Observability, Metadata Management, Master Data Management, Data Lineage, Data Governance principles, Data Cataloguing
- Emerging Technologies: AI-Ready Data Foundations, Vector Database fundamentals, Semantic Layer Design, Knowledge Graph Concepts, Data Foundations for GenAI & Agentic AI Applications
- Software Engineering & Delivery Practices: Git & Version Control, API Integration, Workflow Automation, CI/CD Fundamentals, Agile Delivery
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred
- Experience working with pharmaceutical product development datasets in the scientific, manufacturing, or laboratory data domains
- Exposure to scientific, analytical, or laboratory-based methods through academic coursework, research with an aptitude for understanding the data generated by these techniques
- Familiarity with Data products and AI/ML workflows
- Experience with PySpark, Python, SQL, dbt, Databricks
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 [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
For roles based in Los Angeles County only: 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 this posting is missing required information required by local law or incorrect, contact BMS at [email protected] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.
R1605604 : Process Data Engineer I - Pharmaceutical Product DevelopmentSkills Required
- Bachelor's or Master's degree in Computer Science, Chemical Engineering, Information Systems, Bioinformatics, Biotechnology, or a related field
- 2+ years of industry experience
- Hands-on experience with modern data technologies
- Experience with SQL, Python, ETL/ELT development, data modeling, data warehousing, distributed computing, and data validation
- Experience with Databricks, dbt, and AWS
- Knowledge of data product design, data quality engineering, observability, metadata, master data management, lineage, governance, and cataloguing
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Experience with pharmaceutical product development datasets
- Exposure to scientific, analytical, or laboratory-based methods
- Familiarity with data products and AI/ML workflows
- Experience with PySpark, Python, SQL, dbt, and Databricks
Bristol Myers Squibb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bristol Myers Squibb and has not been reviewed or approved by Bristol Myers Squibb.
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Fair & Transparent Compensation — Pay is considered fair and competitive for the pharmaceutical sector, with many describing compensation as good or better than expected. Feedback suggests base pay combined with incentives contributes to overall satisfaction.
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Healthcare Strength — Health coverage is broad, combining medical, dental, vision, disability, and wellness programs, along with access to on‑site fitness. Feedback suggests employer contributions to health accounts and wellbeing incentives further strengthen perceived value.
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Retirement Support — Retirement savings are reinforced by a strong 401(k) match and additional plan options. This structure is commonly cited as a standout component of total rewards.
Bristol Myers Squibb Insights
What We Do
At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome. Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients. Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do.
