Senior Scientific Data Engineer

We are seeking a Senior Research AI Scientist to partner directly with discovery, translational, clinical, computational, and portfolio research teams to design, evaluate, and operationalize reusable AI-enabled capabilities for high-priority scientific needs.

Requirements

• Partner with discovery, translational, clinical, computational, and portfolio scientists to identify high-value research opportunities for AI and translate them into AI-tractable specifications with measurable scientific success criteria.
• Architect, build, and operationalize agentic and multi-agent workflows for complex scientific tasks such as target evidence assembly, indication rationale construction, biomarker interpretation, translational synthesis, literature and evidence triangulation, and decision support.
• Design reusable AI capabilities, including agentic frameworks, evaluation harnesses, MCP-enabled tool integrations, prompt and policy libraries, and research workflows intended for adoption across multiple programs rather than single-use deployments.
• Establish rigorous evaluation methodologies for AI-enabled research outputs and upstream data/tool quality, including expert-reviewed benchmarks, rubric-based assessments, grounding checks, uncertainty characterization, provenance review, reproducibility criteria, longitudinal monitoring, and failure-mode analysis.
• Operate with urgency and tight scientific feedback loops, converging with scientists on working artifacts quickly and pivoting based on direct evidence, evaluation results, and stakeholder input.
• Collaborate with engineering, data, IT, security, legal, vendor, and platform teams to ensure AI capabilities are designed with appropriate governance, integration paths, productionization patterns, and credible scaling plans from inception.
• Communicate AI opportunities, risks, limitations, evaluation outcomes, and recommended decisions clearly to scientific, technical, and executive audiences; contribute to internal standards, reference implementations, and documentation.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.