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 .

SUMMARY:

Own the strategy and delivery of GenAI-native applications, predictive-model workflows, and insight-driven analytics platforms that accelerate both small-molecule and biotherapeutic invention. Translate scientific objectives into intuitive software products and robust model-ops practices that help chemists, protein engineers, and data scientists iterate faster, uncover deeper insights, and make better decisions.

Domain-Centric AI / ML Enablement:

• Champion predictive-model use-cases across medicinal chemistry and biologics (e.g., property prediction, sequence optimization, generative design).
• Harness cutting-edge structure- and sequence-prediction models (AlphaFold/OpenFold, RoseTTAFold, RFdiffusion, Schrodinger, OpenEye) to accelerate target triage, protein engineering, and binding-interface analysis.
• Track, evaluate, and train molecular prediction models and integrate genAI methods in the literature and open-source community.
• Ensure model outputs, metrics, and explainability align with discovery KPIs and downstream lab workflows.

Insight-Driven Agentic Gen-AI and Applications:

• Integrate agentic genAI frameworks (e.g., Bedrock, LangChain, LlamaIndex, AzureOpenAI) to create conversational analytics, automated report writers, and copilot agents that guide scientists through complex SAR, sequence, or imaging datasets.
• Deliver full-stack applications-React/Next.js fronts with Python/FastAPI & GraphQL services-that surface models and analytics at scale with sub-second responsiveness.

Model-Ops & Engineering Excellence:

• Stand up automated pipelines for data curation, experiment tracking, CI/CD, and governed model release (PyTorch/TensorFlow + MLflow/Kubeflow/SageMaker + GitHub Actions).
• Package and deploy predictive applications and model endpoints to cloud PaaS or on-prem containers for scalable inference and performant access.
• Codify reusable templates, inner-source libraries, and design systems that cut feature time-to-value by 40%.

Leadership & Collaboration:

• Mentor a cross-disciplinary team of full-stack and ML engineers; foster better-than-best practices in code quality, documentation, and UX research.
• Partner with discovery leads, IT operations, and external vendors to align technical backlogs with portfolio milestones and data-quality standards.
• Influence budgeting and make-vs-buy decisions for AI tooling and platform enhancements.

Qualifications:

• Deep Discovery Context - 8-10 yrs building software or ML solutions for medicinal chemistry, biologics engineering, or high-content screening; fluent in SAR data, sequence/structure relationships, and assay lifecycles.
• Molecular Tooling Familiarity - Practical mastery of open-source and proprietary molecular-design toolkits (e.g., EvoDiff, RFdiffusion, Molformer, RDKit, Alphfafold, Schrodinger, OpenEye) and the ability to integrate or adapt them within proprietary pipelines.
• Hands-on GenAI / ML depth - Demonstrated success fine-tuning and deploying LLMs, diffusion models, GNNs, structure-prediction models (AlphaFold family, RoseTTAFold, ESMFold), or vision transformers for scientific or operational use-cases.
• Modern MLOps - IaC (Terraform/CloudFormation), automated testing, secrets management, continuous model evaluation, lineage tracking
• Influence & communication - lead architecture reviews, map tech choices to scientific KPIs, mentor cross-functional teams, and guide roadmap workshops with executives and bench scientists alike.

Desirable Skills:

• Contributions to open-source molecular-design projects.
• Advanced Python & React; shipped production apps that integrate APIs, scale model inference, and manage complex research datasets.
• Comfortable packaging and operating applications/models on Kubernetes/EKS, serverless FaaS, or on-prem containers
• Knowledge of GPU runtime tuning, NVLink optimization, or Triton-based multi-model serving.
• Experience crafting cookie-cutter templates or inner-source libraries that accelerate team velocity.
• Cloud-architect certifications (AWS Pro, Azure Expert, etc.)
• Multi-cloud deployment mastery (AWS, Azure, GCP).

EDUCATION:

M.S. or Ph.D. in Computer Science, Machine Learning, Computational Chemistry/Biology, OR related field; 10 + yrs industry experience (or 7 + yrs with advanced degree). Cloud-architect certification a plus.
Join Us: Empower researchers with the AI tools, agentic workflows, and insight-driven applications they need to invent the next generation of therapeutics-faster, smarter, and at scale.
The starting compensation for this job is a range from $155,000 - $170,000, plus incentive cash and stock opportunities (based on eligibility).
The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed.
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 then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
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.

Please refer the Job description for details