Senior Specialist, Full Stack Developer, Clinical Engineering & 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:

We are seeking a strong Full Stack Developer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). This role is responsible for developing and operating AI-native products where large language models, agentic workflows, and data‑driven intelligence are the default approach to solving business problems—not an add‑on.

The ideal candidate will bring deep hands-on programming experience delivering Generative and Agentic AI solutions in a regulated environment.
 

Specific Responsibilities:

• Develop and maintain LLM-native and agentic applications as long-lived products, incorporating human in the loop patterns, continuous learning, monitoring, and governance as part of the standard operating model. Frameworks include OpenAI, AWS Bedrock, and LangChain.

• Develop and maintain scalable, stable, reliable, and secure applications using Python/Java and modern frontend frameworks like React JS. Leverage vibe coding best practices to build production-grade applications and prototypes faster.

• Implement microservices-based solutions on AWS cloud platform.

• Incorporate microservices, APIs, MCPs and event-driven processes.

• Implement CI/CD practices for software applications.

• Monitor model performance in production and manage model drift, retraining, and rollback strategies.

• Use critical thinking to investigate issues with systems and data, and identify solutions for short-term remediation and long-term strategy.

Requirements:

• Must have a minimum of 2 years of related work experience in software development; Pharma/Life Sciences experience is a plus.

• Bachelor’s degree in Computer Science, Software Engineering, or related field.

• Strong proficiency in Python and/or Java, and a UI framework, preferably React JS

• Solid understanding of AI concepts and familiarity in developing AI applications.

• Practical experience building Generative AI and Agentic AI applications using tools like LangChain is a plus.

• Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker, is a plus.

• Good data analytics skills - SQL/NoSQL databases, able to write efficient queries.

• Strong technical expertise combined with a demonstrated commitment and passion for continuous learning and staying abreast of emerging technologies.

• Excellent problem-solving and analytical skills

• Must be a relationship builder and capable of working effectively in a highly matrix organization with strong communication, planning, and collaboration skills.

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:

Princeton - NJ - US: $78,200 - $94,760

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