Data Engineer, Clinical Operations

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.

Position Summary:

As a Data Engineer, you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for our Global Drug Development (GDD) IT group — specifically within the Cross Study Operations and Specimen Management domain.

We seek a candidate who excels at creating innovative, reliable, secure, and easy-to-use data ecosystems that support the full data product lifecycle — including ingesting, storing, processing, governing, and interacting with data. You will be a hands-on technical expert and individual contributor, applying deep expertise in data engineering, cloud platforms, and Generative AI to solve complex clinical data challenges across cross-study operations and biospecimen workflows, delivering high-quality, scalable data solutions.

You will collaborate closely with BI&T partners, business analysts, and data engineers, as well as Clinical Operations specialists, Specimen Management professionals, Cross-Study Operations leads, and other domain experts to support various data-driven initiatives and enhance the overall BMS data ecosystem. You will be expected to leverage Generative AI (GenAI), Databricks, and semantic technologies to drive innovation and efficiency within our data platforms.

Key Responsibilities:

• Collaborate with BI&T partners, cross-study operations leads, specimen management specialists, clinical study teams, clinical trial analysts, trial managers, domain experts, and cross-functional leaders in data engineering, data product teams, and data operations to support effective adoption of our Data Platform.

• Design, build, and maintain scalable, production-grade data pipelines and platform components supporting Cross Study Operations and Specimen Management product lines, including cross-trial data aggregation, specimen tracking, and biobanking workflows.

• Develop and enhance data solutions to accelerate data usage across cross-study clinical R&D programs, ensuring robustness, interoperability with consumer applications, and scalability.

• Optimize data platform components for performance, scalability, interoperability, availability, and cost-effectiveness using techniques such as cloud-native parallel processing, Databricks Delta Lake, caching, and partitioning.

• Help design and build scalable ETL/ELT pipelines and data models using Databricks, Delta Lake, cloud-native tools, semantic modeling, and interoperability standards for large, complex cross-study and specimen datasets in life sciences.

• Partner with business and data product owners to deliver hands-on technical solutions for data product development, standardization, testing, lineage, meeting latency requirements, and ensuring access governance across cross-study and specimen management data assets.

• Utilize Databricks Unity Catalog to enforce data governance, manage metadata, and ensure end-to-end data lineage across cross-study and specimen management data products.

• Contribute to the development of self-service data discovery solutions, fostering findability, accessibility, and reusability of cross-study operational and specimen data assets.

• Maintain thorough documentation of processes, data structures, and technical solutions; deliver clear technical recommendations and execute solutions effectively across the enterprise.

• Help build and deploy GenAI-powered and NLP-driven applications that deliver measurable outcomes across cross-study operations and specimen management, including efficiency gains, specimen traceability improvements, cross-study insight generation, risk mitigation, and compliance automation

• Develop and operationalize cloud-based GenAI and LLM-powered applications in collaboration with data product owners, engineers, and data scientists, utilizing techniques such as RAG, fine-tuning, and vector embeddings to deliver high-quality data discovery and consumption features for cross-study and specimen management workflows.

• Leverage Databricks Mosaic AI and MLflow to develop, track, deploy, and manage machine learning and GenAI models at scale within cross-study and specimen management contexts.

• Stay current on technology trends in GenAI, RAG, semantic search, Databricks, cloud orchestration, and containerization; apply emerging best practices to optimize platform performance, scalability, and cost-effectiveness.

• Serve as a go-to technical expert within the Cross Study Operations and Specimen Management domain, providing guidance and mentorship to junior analysts, interns, and vendor resources on Databricks, technical best practices, and business alignment.

• Foster a culture of continuous learning, engineering excellence, and knowledge sharing across the data engineering community.

Qualifications & Experience:

• 5+ years of hands-on experience in Data Engineering, Analytics, and AI/ML, with demonstrated expertise implementing and operating data capabilities and solutions in a cloud environment.

• Hands-on expertise with Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI, and MLflow; Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional) is a strong plus.

• Demonstrated expertise in cloud-native data platforms, ETL/ELT pipeline design, data modeling, and semantic analytics for large-scale, complex datasets, with hands-on DevOps experience.

• Strong proficiency in Python, SQL, Spark (including PySpark on Databricks), and GenAI frameworks; hands-on experience with LLM architectures, RAG, prompt engineering, and agentic frameworks.

• Proficiency in creating and maintaining optimal data pipeline architecture for large, complex datasets, including semantic modeling within a domain — preferably life sciences, clinical trial operations, or specimen/biobanking workflows.

• Demonstrated experience delivering production-grade GenAI applications, predictive models, and self-service analytics tools supporting critical clinical or research business functions.

• Working knowledge of LLM and GenAI-driven approaches, including RAG, Chain-of-Thought, fine-tuning, vectorization, agentic frameworks, and prompt engineering techniques for improving the accuracy of LLM-based responses.

• Strong stakeholder engagement and communication skills; ability to clearly articulate technical concepts to non-technical audiences and drive adoption of data solutions across functional teams.

• Commitment to engineering excellence, documentation, and process improvement; functional knowledge of Life Sciences R&D and clinical trial operations is highly preferred.

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.

Princeton - NJ - US: $87,810 - $106,399

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. 

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
 

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

• Health Coverage: Medical, pharmacy, dental, and vision care.

• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

​Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

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.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. 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.

R1604109 : Data Engineer, Clinical Operations