Junior AI Engineer, R&D

At RayzeBio, every day is an opportunity to ignite meaningful change. As a wholly-owned subsidiary of Bristol Myers Squibb, RayzeBio blends the nimble, pioneering spirit of an emergent biotech with the global expertise and resources of a leading innovator in oncology. Our mission is to develop transformative radiopharmaceutical therapies that offer new hope for patients living with cancer. Here, you’ll join a multidisciplinary team where your ideas are valued, your expertise is amplified, and collaboration is at the heart of everything we do. From day one, expect to make an immediate impact—on our science, on our teams, and most importantly, on patients. Learn more about RayzeBio: https://careers.bms.com/rayzebio/

The AI Engineer, R&D will help build and deploy AI-native tools, applications, and models that accelerate scientific workflows and support ambitious AI applications in drug discovery across RayzeBio. This role will partner directly with R&D stakeholders to identify high-value opportunities, translate emerging AI capabilities into practical solutions, and deliver measurable impact across research workflows, knowledge access, and decision support. This position reports to the Director, Applied Generative AI and will work closely and independently with assigned client teams in R&D.

This is not a traditional software engineering role. We are building a new kind of team: small, fast-moving and AI-first. The person in this role should be comfortable working independently with client teams, building strong relationships with stakeholders, and helping define new ways of working in an AI-native environment. This is an on-site role in San Diego.

Responsibilities:

• Partner directly with R&D stakeholders to identify, scope, and deliver high-value AI use cases across scientific workflows, knowledge access, decision support, and drug discovery.

• Build AI-enabled applications, assistants, automations, and data products that improve scientific productivity and accelerate research.

• Work independently with client teams to understand workflows, gather requirements, iterate quickly, and ensure solutions fit real business needs.

• Contribute to larger AI initiatives in drug discovery, including model-driven approaches for scientific understanding, prediction, and prioritization.

• Help evaluate, prototype, and apply frontier models, agent frameworks, and AI engineering tools to real research problems.

• Support development of novel internal AI capabilities, including domain-adapted models, specialized workflows, and, where appropriate, foundation-model efforts.

• Collaborate with internal and external technical partners, where appropriate, to evaluate tools, models, and opportunities for partnership.

• Connect AI systems to internal data, documents, and research infrastructure to create practical, scalable solutions.

• Help deploy, monitor, and improve solutions in approved internal environments.

• Document technical patterns, decisions, and reusable approaches, and contribute to team standards for delivery, quality, and guardrails.

• Stay current on the latest developments in agentic coding, AI-assisted development, and frontier AI tools, and help raise the team’s collective capability over time.

Required Qualifications: 

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Engineering, Computational Biology, Bioinformatics, or a related technical field. 

• Recent graduate or early-career candidate strongly preferred; 1–2 years of experience in a technical role may be beneficial. 

• Strong computer science fundamentals, including programming, data structures, algorithms, and software design. 

• Strong Python skills and the ability to build working applications and prototypes quickly. 

• Academic, research, internship, or project experience in machine learning, AI applications, software engineering, or computational research. 

• Hands-on experience using modern AI tools, LLM APIs, coding agents, and AI-assisted development environments. 

• Familiarity with tools such as Claude Code or Codex, and comfort using them as part of day-to-day development. 

• Up-to-date knowledge of the latest developments in agentic coding, AI-assisted software development, and frontier AI tooling. 

• Ability to work independently with business stakeholders and operate effectively in a highly iterative, fast-moving environment. 

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