Senior Specialist, Full Stack Developer, Regulatory Engineering & Operations

Bristol Myers Squibb • Madison, NJ

2d

About The Position

We are seeking a strong Full Stack Developer to join an AI-first, Agile product team supporting Global Regulatory Sciences (GRS). This role will develop and operate AI-native regulatory 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 brings deep, hands-on software engineering experience delivering generative and agentic AI solutions in a regulated environment, with a focus on building production-grade platforms, integrations, and data-connected applications that can scale.

Requirements

• Demonstrated growth mindset with the ability to rapidly prototype, validate hypotheses, and evolve proofs of concept into MVPs and production-ready solutions.
• Comfortable working in ambiguity; quickly building POCs, gathering user feedback, and iterating to MVP with measurable outcomes.
• 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.
• Excellent 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.

Nice To Haves

• Practical experience building Generative AI and Agentic AI applications using tools like Claude, OpenAI, LangChain is a plus.
• Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker, is a plus.
• Experience building document ingestion and vectorization pipelines (parsing, cleaning, chunking, metadata enrichment, embedding generation) to support RAG/search use cases.
• Familiarity with vector storage and retrieval (e.g., Amazon S3 Vectors, OpenSearch vector search, pgvector, or other vector databases), including indexing strategies and relevance tuning.

Responsibilities

• Rapidly prototype AI solutions, validate hypotheses with users and data, and iterate from proof-of-concept to MVP and production-ready releases with measurable outcomes.
• Develop and maintain LLM-powered and agentic applications as long-lived products, incorporating human-in-the-loop review, controlled model updates, monitoring/observability, and governance (evaluation, auditability, and access controls) into the operating model. Experience with frameworks such as OpenAI, AWS Bedrock, and LangChain.
• Build scalable, reliable, secure applications using Python and/or Java and modern front-end frameworks (e.g., React).
• Leverage AI-assisted development and strong software engineering practices to accelerate prototypes into production-grade systems.
• Design and operate secure document ingestion + vectorization workflows on AWS (S3, event-driven processing), enabling governed retrieval across structured and unstructured Regulatory Affairs content, leveraging Amazon S3 Vectors and/or OpenSearch.
• Design and implement microservices and APIs on AWS, leveraging event-driven architectures and asynchronous processing where appropriate.
• Implement CI/CD pipelines and infrastructure-as-code to support repeatable, compliant deployments.
• Monitor model performance in production and manage drift detection, evaluation, retraining/refresh, and rollback strategies.
• Investigate issues across systems and data with strong critical thinking, delivering short-term fixes and long-term architectural improvements.
• Monitor model performance in production and manage model drift, retraining, and rollback strategies.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees