Bristol Myers Squibb (RayzeBio) is seeking to lead the company's adoption and implementation of next-generation artificial intelligence capabilities to improve survival of people with cancer by harnessing the power of targeted radioisotopes.
Requirements
- Proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace), as well as LLM and agentic AI solutions (prompt engineering, RAG, LangChain, or similar) plus modern GenAI/MLOps tooling (e.g., AWS or GCP, MLflow, feature stores, vector databases, model evaluation/monitoring).
- Demonstrable experience leading the enterprise adoption and integration of generative AI or large-scale automation tools-preferably in life sciences, biotech, or healthcare.
- 10+ years of progressive experience delivering advanced AI/ML solutions, including demonstrated hands-on development, solution deployment, and cross-functional project leadership.
- Significant experience collaborating with cross-functional teams and influencing across levels, including senior/executive stakeholders, in a matrixed organization.
- Proven track record of successful supplier/vendor management for technical projects.
- Experience designing and delivering effective technical training and change management for end users (including role-based enablement for technical and non-technical audiences).
- Experience with cloud computing, data engineering, and MLOps best practices (AWS or GCP experience preferred).
Responsibilities
- Provide strategic and technical leadership for the identification, development, and deployment of AI, LLM, and agentic automation solutions across RayzeBio, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring).
- Lead cross-functional coordination by collaborating with all teams at RayzeBio, as well as with stakeholders at BMS (primarily BI&T), to identify high-value opportunities and deliver scalable solutions.
- Build, maintain, and expand strong working relationships with internal and external stakeholders-including enterprise partners and supplier/vendor teams-to facilitate open collaboration, knowledge sharing, and technology alignment.
- Guide and, as needed, oversee external suppliers (data engineers, solution developers, consultants), providing clear direction and technical guidance to secure high quality, on-time project delivery.
- Drive the adoption and enablement of BMS-approved AI tools (e.g., ChatGPT Enterprise, Microsoft Copilot) across RayzeBio, serving as the primary advocate and trusted advisor on best practices, compliance, and maximization of value.
- Develop and deliver onboarding, training, and enablement content, supporting technical and non-technical users in leveraging generative AI tools safely and effectively, and fostering an AI-first mindset organization-wide with measurable adoption goals (e.g., enablement OKRs, usage and completion metrics).
- Ensure that all AI and analytics initiatives are synergistic and complementary to existing BMS enterprise programs, proactively avoiding duplication of effort and elevating RayzeBio's unique contributions by documenting reuse patterns and executing de-duplication across teams.
Other
- Highly independent and hands-on
- Self-starter who thrives with minimal oversight
- Proactively identifies priorities and drives strategy and execution
- Serve as the primary leader for RayzeBio's AI efforts
- Build and nurture internal and external relationships, orchestrate collaboration across multiple functional and supplier teams
