Senior Scientific Data Engineer

Bristol-Myers Squibb Company

Job Overview

Location

Remote - United States - US

Job Type

Full-time

Full Job Description

📋 Description

• Partner directly with discovery, translational, clinical, computational, and portfolio research teams to identify high-value scientific 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 including target evidence assembly, indication rationale construction, biomarker interpretation, translational synthesis, literature and evidence triangulation, and decision support.
• Design reusable AI capabilities such as 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, rapidly converging on working artifacts 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.
• Stay current with developments in agentic systems, evaluation methodology, reasoning models, retrieval, grounding, biomedical AI tooling, and research informatics, and assess their practical value for Research.
• Translate complex scientific questions into defensible AI workflows, reusable research tools, rigorous evaluation frameworks, and scientifically grounded agentic systems supporting use cases such as target evidence assembly, indication rationale, biomarker interpretation, translational synthesis, and decision support.
• Apply deep fluency in modern AI and large language model methods including agentic workflows, multi-agent orchestration, GraphRAG, scaled tool use, and MCP patterns to solve biomedical research challenges.
• Leverage working fluency in at least one scientific domain relevant to drug research and development—including target biology, translational science, computational biology, clinical development, molecular invention, or biomarker science—to engage scientists as a peer on questions of evidence and interpretation.
• Utilize experience with knowledge graphs, biomedical ontologies, evidence models, disease models, gene/target models, and graph-based reasoning over heterogeneous biomedical evidence including genetic associations, clinical outcomes, literature, omics data, assay data, and real-world data.
• Apply sound engineering judgment to determine when to reuse existing platform components, extend them, maintain prototypes, or transition capabilities to platform engineering for productionization.
• Demonstrate a bias toward urgency and tight iteration, consistently delivering working artifacts within days and iterating directly with scientific stakeholders based on feedback.
• Communicate effectively across scientific, technical, and executive audiences to align stakeholders around practical AI opportunities, evaluation results, and adoption strategies.

🎯 Requirements

• Bachelor’s degree in computational biology, bioinformatics, genetics, biology, chemistry, pharmaceutical sciences, data science, scientific computing, or related field with 7+ years of experience OR Master’s degree with 5+ years OR PhD with 2+ years
• Demonstrated track record translating complex scientific questions into AI-enabled workflows, reusable tools, evaluation frameworks, or decision-support capabilities trusted by scientists
• Substantive hands-on experience with modern AI and large language model methods including agentic workflows, multi-agent orchestration, GraphRAG, scaled tool use, and MCP patterns
• Working fluency in at least one scientific domain relevant to drug research and development (e.g., target biology, translational science, computational biology, clinical development, molecular invention, biomarker science)
• Demonstrated experience designing and operating scientifically rigorous evaluation frameworks for AI systems using curated benchmarks, expert-reviewed standards, rubric-based assessments, calibration metrics, and regression gating
• Experience with knowledge graphs, biomedical ontologies, evidence models, disease models, gene/target models, and graph-based reasoning over heterogeneous biomedical data

🏖️ Benefits

• Medical, pharmacy, dental, and vision care coverage
• Wellbeing support programs including BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)
• 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
• Flexible paid time off (unlimited with manager approval) for US exempt employees; 160 hours annual vacation for Phoenix, Puerto Rico, and Rayzebio employees
• 11 paid national holidays and 3 optional holidays
• Unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility (for eligible roles), and leaves for medical, personal, parental, caregiver, bereavement, and military needs
• Annual Global Shutdown between Christmas and New Year’s Day for all global employees
• Eligibility for additional incentive cash and stock opportunities based on performance

Skills & Technologies

Senior

Remote

$128k-156k

Degree Required

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Bristol-Myers Squibb Company

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About Bristol-Myers Squibb Company

Bristol-Myers Squibb is a global biopharmaceutical company headquartered in New York City. It discovers, develops, manufactures and markets medicines for cancer, cardiovascular, immunologic, fibrotic and infectious diseases. Formed through the 1989 merger of Bristol-Myers and Squibb, the company has pioneered therapies such as Opdivo, Yervoy and Eliquis. Operating in more than 60 countries, it invests heavily in R&D and partnerships to advance precision oncology, cell therapy and immunotherapy. BMS acquired Celgene in 2019, expanding its oncology and hematology portfolio. The company is committed to sustainability, access to medicines and global health equity initiatives.

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