Senior Specialist, Full Stack Developer, Clinical Engineering & Operations

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.

• 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 Lang Chain.
• 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.

• 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 Lang Chain is a plus.
• Experience with AWS Cloud services such as Lambda, S3, Dynamo
  
  DB, Bedrock, Sage Maker, is a plus.
• Good data analytics skills – SQL/No
  
  SQL 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.

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.

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.

• 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…