Senior Scientific Data Engineer

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

The Senior Scientific Data Engineer will design, implement, and maintain modern Python‑based applications that enable AI‑driven scientific workflows across Research. The role focuses on developing LLM‑based applications, agentic AI workflows, Model Context Protocol (MCP) servers, and high‑performance API services supporting drug discovery and research informatics.

Key Responsibilities:

• Design, develop, and maintain Python applications leveraging modern async frameworks and strong type validation patterns.

• Build and integrate MCP servers to support AI tool orchestration.

• Implement agentic AI workflows for scientific research use cases.

• Develop RESTful APIs using frameworks such as FastAPI.

• Integrate applications with LLM providers (e.g., OpenAI, Azure OpenAI, Anthropic).

• Develop, evaluate, and refine custom AI agents and multistep workflows.

• Deploy applications using infrastructure‑as‑code frameworks (AWS CDK, CloudFormation, or similar).

• Build and manage containerized applications using Docker.

• Configure CI/CD pipelines and automation for development and production environments.

• Support background job systems, queues, and distributed task execution.

• Write and maintain comprehensive automated test suites.

• Maintain code reliability through linting, formatting, and static type checking.

• Contribute to internal best practices for code quality and engineering standards.

• Work closely with scientific users and product teams to understand requirements and deliver effective solutions.

• Collaborate across Research, IT, and platform engineering teams.

• Document system architecture, API specifications, and operational procedures.

Basic Qualifications

• Bachelor's Degree 7+ years of academic / industry experience

• Or Master's Degree 5+ years of academic / industry experience

• Or PhD 2+ years of academic / industry experience

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.

Compensation Overview:

Remote - United States - US: $128,890 - $156,179

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 Bett