Senior Research AI Scientist
Bristol Myers Squibb
5 days ago
Remote
United States
Clinical Research and Development
Position Summary
Senior Research AI Scientist to partner with discovery, translational, clinical, computational, and portfolio teams to design, evaluate, and operationalize reusable AI-enabled capabilities for high-priority scientific needs.
Key Responsibilities
- Identify high-value AI research opportunities and translate them into AI-tractable specifications with measurable success criteria.
- Architect, build, and operationalize agentic/multi-agent workflows for tasks such as target evidence assembly, indication rationale, biomarker interpretation, translational synthesis, evidence triangulation, and decision support.
- Design reusable AI capabilities (agentic frameworks, evaluation harnesses, MCP tool integrations, prompt/policy libraries) for multi-program adoption.
- Establish rigorous evaluation for outputs and data/tool quality (benchmarks, rubrics, grounding checks, uncertainty, provenance, reproducibility, monitoring, failure-mode analysis).
- Operate with urgency and tight feedback loops; converge on working artifacts and pivot based on evidence.
- Partner with engineering, data, IT, security, legal, vendors, and platform teams on governance, integration, productionization, and scaling.
- Communicate opportunities/risks/evaluation results; contribute to standards, reference implementations, and documentation.
Basic Qualifications
- BS and 7+ years, or MS and 5+ years, or PhD and 2+ years in computational biology/bioinformatics/genetics/biology/chemistry/pharma sciences/data science/scientific computing or related.
Preferred Qualifications
- Track record translating scientific questions into reusable AI workflows/tools/evaluations/decision support.
- Hands-on modern AI/LLMs: agentic workflows, multi-agent orchestration, GraphRAG, scaled tool use, MCP.
- Experience building rigorous evaluation frameworks (curated benchmarks, expert standards, rubrics, calibration/uncertainty, regression gating).
- Fluency in drug research domain; experience with knowledge graphs/ontologies/evidence/disease/gene/target models and graph reasoning over biomedical evidence.
- Urgency/tight iteration; engineering judgment for reuse/extension/productionization.
Benefits (explicitly listed)
- Health Coverage; Wellbeing Support; 401(k) and insurance benefits (short/long-term disability, life, accident, supplemental health, etc.).
- Paid Time Off and Global Shutdown (as described).
Application Instructions
- If you’re interested but not a perfect match, apply anyway.
- Remote - United States compensation: $128,890–$156,179.
Senior Research AI Scientist to partner with discovery, translational, clinical, computational, and portfolio teams to design, evaluate, and operationalize reusable AI-enabled capabilities for high-priority scientific needs.
Key Responsibilities
- Identify high-value AI research opportunities and translate them into AI-tractable specifications with measurable success criteria.
- Architect, build, and operationalize agentic/multi-agent workflows for tasks such as target evidence assembly, indication rationale, biomarker interpretation, translational synthesis, evidence triangulation, and decision support.
- Design reusable AI capabilities (agentic frameworks, evaluation harnesses, MCP tool integrations, prompt/policy libraries) for multi-program adoption.
- Establish rigorous evaluation for outputs and data/tool quality (benchmarks, rubrics, grounding checks, uncertainty, provenance, reproducibility, monitoring, failure-mode analysis).
- Operate with urgency and tight feedback loops; converge on working artifacts and pivot based on evidence.
- Partner with engineering, data, IT, security, legal, vendors, and platform teams on governance, integration, productionization, and scaling.
- Communicate opportunities/risks/evaluation results; contribute to standards, reference implementations, and documentation.
Basic Qualifications
- BS and 7+ years, or MS and 5+ years, or PhD and 2+ years in computational biology/bioinformatics/genetics/biology/chemistry/pharma sciences/data science/scientific computing or related.
Preferred Qualifications
- Track record translating scientific questions into reusable AI workflows/tools/evaluations/decision support.
- Hands-on modern AI/LLMs: agentic workflows, multi-agent orchestration, GraphRAG, scaled tool use, MCP.
- Experience building rigorous evaluation frameworks (curated benchmarks, expert standards, rubrics, calibration/uncertainty, regression gating).
- Fluency in drug research domain; experience with knowledge graphs/ontologies/evidence/disease/gene/target models and graph reasoning over biomedical evidence.
- Urgency/tight iteration; engineering judgment for reuse/extension/productionization.
Benefits (explicitly listed)
- Health Coverage; Wellbeing Support; 401(k) and insurance benefits (short/long-term disability, life, accident, supplemental health, etc.).
- Paid Time Off and Global Shutdown (as described).
Application Instructions
- If you’re interested but not a perfect match, apply anyway.
- Remote - United States compensation: $128,890–$156,179.