Junior AI Engineer, R&D
Bristol Myers Squibb
17 days ago
On-site
San Diego, CA
Clinical Research and Development
Responsibilities:
- Partner 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 to improve scientific productivity and accelerate research.
- Work independently with client teams to understand workflows, gather requirements, iterate quickly, and ensure solutions fit business needs.
- Contribute to drug discovery AI initiatives (model-driven understanding, prediction, and prioritization).
- Evaluate, prototype, and apply frontier models, agent frameworks, and AI engineering tools to research problems.
- Support novel internal AI capabilities (domain-adapted models, specialized workflows, and/or foundation-model efforts).
- Connect AI systems to internal data/documents/research infrastructure; deploy, monitor, and improve solutions in approved internal environments.
- Document patterns/decisions and help establish delivery/quality/guardrails; stay current on agentic coding/frontier AI tools.
Required Qualifications:
- BS/MS/PhD in CS, ML, Engineering, Computational Biology, Bioinformatics, or related field.
- Recent graduate/early-career strongly preferred (1–2 years technical experience beneficial).
- Strong CS fundamentals; strong Python skills.
- Experience with ML/AI applications and AI-assisted development; hands-on with LLM APIs, coding agents.
- Familiarity with tools such as Claude Code or Codex.
- Ability to work independently with business/scientific stakeholders; strong communication.
Preferred Qualifications:
- Interest in frontier AI/model development; plus experience in life sciences/computational chemistry or data-intensive problems.
- Familiarity building internal tools/automation/AI apps; curiosity about AI in scientific discovery and drug development.
Benefits/Compensation (as stated): San Diego, CA $81,283–$98,496; health, wellbeing, 401(k), disability/life/insurance; Paid Time Off (FTO/flexible time off and/or paid vacation per eligibility).
Application instruction: If intrigued but not perfectly matched, encouraged to apply anyway.
- Partner 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 to improve scientific productivity and accelerate research.
- Work independently with client teams to understand workflows, gather requirements, iterate quickly, and ensure solutions fit business needs.
- Contribute to drug discovery AI initiatives (model-driven understanding, prediction, and prioritization).
- Evaluate, prototype, and apply frontier models, agent frameworks, and AI engineering tools to research problems.
- Support novel internal AI capabilities (domain-adapted models, specialized workflows, and/or foundation-model efforts).
- Connect AI systems to internal data/documents/research infrastructure; deploy, monitor, and improve solutions in approved internal environments.
- Document patterns/decisions and help establish delivery/quality/guardrails; stay current on agentic coding/frontier AI tools.
Required Qualifications:
- BS/MS/PhD in CS, ML, Engineering, Computational Biology, Bioinformatics, or related field.
- Recent graduate/early-career strongly preferred (1–2 years technical experience beneficial).
- Strong CS fundamentals; strong Python skills.
- Experience with ML/AI applications and AI-assisted development; hands-on with LLM APIs, coding agents.
- Familiarity with tools such as Claude Code or Codex.
- Ability to work independently with business/scientific stakeholders; strong communication.
Preferred Qualifications:
- Interest in frontier AI/model development; plus experience in life sciences/computational chemistry or data-intensive problems.
- Familiarity building internal tools/automation/AI apps; curiosity about AI in scientific discovery and drug development.
Benefits/Compensation (as stated): San Diego, CA $81,283–$98,496; health, wellbeing, 401(k), disability/life/insurance; Paid Time Off (FTO/flexible time off and/or paid vacation per eligibility).
Application instruction: If intrigued but not perfectly matched, encouraged to apply anyway.