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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Associate Director – Engineering Lead - Clinical Engineering & Operations

Applied Machine LearningPosted on May 16
Full-timePrinceton, NJ, USA

About the Job

Requirements

  • Must have a minimum of 15 years of strong experience in software engineering; Pharma/Life Sciences experience is a plus.
  • Bachelor’s degree in Computer Science, Software Engineering, or related field.
  • Must have a demonstrated track record implementing complex technical solutions, developing software applications following SDLC processes in a regulated and agile environment.
  • Proven abilities to plan, manage, deliver, and support applications, from concept initiation through delivery and steady-state operations.
  • Demonstrated competency in executing multiple projects simultaneously leveraging Agile methods.
  • Must have practical experience building Generative AI and Agentic AI applications using tools like LangChain, LlamaIndex, AWS Bedrock, etc.
  • Strong proficiency in Python and React; Java or TypeScript familiarity.
  • Solid grasp of REST APIs, MCPs, FastAPI, and workflow automation tools.
  • Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker.
  • Strong data analytics skills - SQL/NoSQL databases, able to write efficient queries.
  • 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.
  • Ability to achieve successful consensus among differing priorities and stakeholders in both the IT and Business communities.
  • Strong technical expertise, leadership skills, and a passion for delivering high-quality, reliable solutions.
  • Must possess excellent written and verbal skills and demonstrate an ability to effectively communicate at all levels of the organization.

Responsibilities

  • Develop and maintain an AI-first technology strategy for all the products within a product line, making build-vs-buy decisions, model selection, and building capabilities in alignment with product vision and business outcomes.
  • Accountable for building reusable, scalable platforms and intelligent agents with a strong security and compliance foundation.
  • Establish AI guardrails and best practices to enable developers to build production-grade applications in a regulated environment.
  • Accountable for budget forecasting and financial stewardship for the product line, including identifying cost efficiencies.
  • Establish and enforce standardized CI/CD practices to be followed by developers across all products
  • Partner with product managers and GDO stakeholders to identify opportunities where AI can augment human decision-making, automate execution, and create step-change improvements in clinical and operational workflows.
  • Design, develop, and maintain scalable, stable, reliable, and secure applications using Python/Java/Node JS and modern frontend frameworks like React JS.
  • Design LLM-native and agentic systems 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.
  • Incorporate microservices, APIs, MCPs, event-driven processes, and middleware within enterprise systems.
  • Use critical thinking to investigate issues with systems and data, and identify solutions for short-term remediation and long-term strategy.
  • Ensure compliance with data governance, privacy, and security standards.

Desired Qualifications

  • Pharma/Life Sciences experience is a plus.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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