At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.
Position Summary
At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care. The AI Data Science Engineer will play a key role in strategic use of data and artificial intelligence to drive critical business impacts through the delivery of data-driven insights in the Global Market Access and HEOR IT function.
If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!
Key Responsibilities:
Develop and deliver AI-powered solutions that will bring more medicines to more patients faster
Develop ML pipelines that can evolve rapidly to incorporate new and/or more effective modeling approaches
Partner with business and IT groups to scale and operationalize AI solutions to advance business goals and gain competitive advantage
Engage a broader community to help educate the business on the practical application of AI to drive business value and widespread adoption
Serve as a knowledge expert in foundation models and communicate insights, recommendations, value and impact to technical and non-technical stakeholders
Stay up-to-date with emerging trends in data science and machine learning, and apply that knowledge to drive innovation within the organization
Qualifications & Experience:
Requires advanced knowledge applicable to a wide range of work in data & analytics and thorough knowledge of other functions, typically gained through a university degree and 6+ years of experience.
Demonstrates knowledge in data & analytics skillsets such as data provisioning, data mining, data visualization, machine learning, code development in python/R, Github, cloud computing platforms like AWS, model governance with MLFlow or equivalent.
Potential to lead initiatives related to implementation of new technologies, especially LLM-based solutions.
Can package information and data that tells a story and provides insight to a broader problem. Presents and explains the implications of key information on issues important to the business unit.
Frequently interacts with other internal and external stakeholders regarding operational decisions and business requirements. Analyzes the impact of conclusions and actions on people, technology, structure, and workflow across teams
Gives others challenging opportunities to build strong capabilities for team. Helps drive a culture which motivates awareness and learning through creating space for conversations and debate.
Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.
Stays current with emerging trends in specialty area. Identifies future state and dimensions of change (org, tech, cultural) to achieve. Creates transition plans for new processes, implements and monitor’s change. Ensures alignment of plans with the enterprise's strategic vision and translates the vision to connect to team's work
Maintains a broad perspective when analyzing information and utilizes analytical thought while pushing others to do the same, considering long-term implications. Uses judgement and creativity in structuring work and finding solutions that are not obvious. Reviews and assess solutions proposed by others to determine the best path moving forward.
Required Knowledge and Skills:
Developing and deploying generative AI solutions.
Programming in Python and hands-on experience with frameworks such as Pytorch or Tensorflow.
Prompt engineering and vector databases.
Work with unstructured and semi-structured data.
Fine-tuning deep learning models.
Familiarity with a cloud environment (AWS/GCP/Azure).
MLOps principles and model development lifecycle.
Desirable Experience:
Building RAG pipelines, chat applications and implementing AI agents.
Frameworks such as LlamaIndex and LangChain.
Leveraging Hugging Face models.
Familiarity with vision models.
We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.
How We Work
Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If this posting is missing required information required by local law or incorrect, contact BMS at [email protected] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.
R1600336 : Software Development Engineer III, AI Data Engineering
