Principal Research AI Innovation Lead
Bristol Myers Squibb
August 24, 2026
Remote friendly (Lawrence, NJ)
United States
Clinical Research and Development
Principal Research AI Innovation Lead
Key Responsibilities:
- Partner with scientists to identify high-impact AI opportunities to improve research speed, quality, consistency, traceability, and decisions.
- Shape multi-year GenAI strategies; lead workstreams; create reusable building blocks (agentic frameworks, evaluation harnesses, retrieval/grounding, tool servers, prompt/policy libraries, provenance).
- Architect and implement an agentic “system-of-systems” for long-horizon research workflows (target evidence assembly, indication rationale, biomarker interpretation, translational synthesis, literature/evidence triangulation, decision support) with inter-agent coordination, memory/state, verification, recovery, and agent lifecycle governance.
- Define rigorous evaluation/benchmarking/reliability standards (datasets, expert references, rubric assessments, hallucination/grounding metrics, uncertainty calibration, monitoring, production regression gating, governance).
- Incorporate expert feedback, rationale, provenance, and research context so systems improve over time.
- Collaborate with engineering, data, IT, security, legal, vendors, and platforms for governance, integration, and scalability.
- Communicate opportunities/risks/results to scientific, technical, and executive audiences; stay current with AI methods and industry practices.
Basic Qualifications:
- BS: 8+ years academic/industry experience; or MS: 6+; or PhD: 4+.
Preferred Qualifications (selected):
- Advanced scientific/computational/AI degree (MS/PhD/PharmD or equivalent).
- Domain experience (e.g., target/indication, repurposing, biomarker discovery, translational research, clinical evidence review, portfolio decision support).
- Ability to assess scientific grounding/quality of AI outputs.
- Architectural depth in modern AI/LLMs (agentic workflows, orchestration, long-horizon execution, GraphRAG, MCP auth patterns, deep research/reasoning models).
Compensation/Benefits (explicitly stated): Remote (United States), $145,020–$175,728; health, wellbeing, financial protection; paid time off.
Application Instructions:
- If you don’t perfectly match, apply anyway.
Key Responsibilities:
- Partner with scientists to identify high-impact AI opportunities to improve research speed, quality, consistency, traceability, and decisions.
- Shape multi-year GenAI strategies; lead workstreams; create reusable building blocks (agentic frameworks, evaluation harnesses, retrieval/grounding, tool servers, prompt/policy libraries, provenance).
- Architect and implement an agentic “system-of-systems” for long-horizon research workflows (target evidence assembly, indication rationale, biomarker interpretation, translational synthesis, literature/evidence triangulation, decision support) with inter-agent coordination, memory/state, verification, recovery, and agent lifecycle governance.
- Define rigorous evaluation/benchmarking/reliability standards (datasets, expert references, rubric assessments, hallucination/grounding metrics, uncertainty calibration, monitoring, production regression gating, governance).
- Incorporate expert feedback, rationale, provenance, and research context so systems improve over time.
- Collaborate with engineering, data, IT, security, legal, vendors, and platforms for governance, integration, and scalability.
- Communicate opportunities/risks/results to scientific, technical, and executive audiences; stay current with AI methods and industry practices.
Basic Qualifications:
- BS: 8+ years academic/industry experience; or MS: 6+; or PhD: 4+.
Preferred Qualifications (selected):
- Advanced scientific/computational/AI degree (MS/PhD/PharmD or equivalent).
- Domain experience (e.g., target/indication, repurposing, biomarker discovery, translational research, clinical evidence review, portfolio decision support).
- Ability to assess scientific grounding/quality of AI outputs.
- Architectural depth in modern AI/LLMs (agentic workflows, orchestration, long-horizon execution, GraphRAG, MCP auth patterns, deep research/reasoning models).
Compensation/Benefits (explicitly stated): Remote (United States), $145,020–$175,728; health, wellbeing, financial protection; paid time off.
Application Instructions:
- If you don’t perfectly match, apply anyway.