Senior Scientific Data Engineer

Role Description

The Senior Scientific Data Engineer will design, implement, and maintain modern Python‑based applications that enable AI‑driven scientific workflows across Research. The role focuses on developing LLM‑based applications, agentic AI workflows, Model Context Protocol (MCP) servers, and high‑performance API services supporting drug discovery and research informatics.

• Design, develop, and maintain Python applications leveraging modern async frameworks and strong type validation patterns.
• Build and integrate MCP servers to support AI tool orchestration.
• Implement agentic AI workflows for scientific research use cases.
• Develop RESTful APIs using frameworks such as FastAPI.
• Integrate applications with LLM providers (e.g., OpenAI, Azure OpenAI, Anthropic).
• Develop, evaluate, and refine custom AI agents and multistep workflows.
• Deploy applications using infrastructure‑as‑code frameworks (AWS CDK, CloudFormation, or similar).
• Build and manage containerized applications using Docker.
• Configure CI/CD pipelines and automation for development and production environments.
• Support background job systems, queues, and distributed task execution.
• Write and maintain comprehensive automated test suites.
• Maintain code reliability through linting, formatting, and static type checking.
• Contribute to internal best practices for code quality and engineering standards.
• Work closely with scientific users and product teams to understand requirements and deliver effective solutions.
• Collaborate across Research, IT, and platform engineering teams.
• Document system architecture, API specifications, and operational procedures.

Qualifications

• Bachelor's Degree with 7+ years of academic/industry experience
• Or Master's Degree with 5+ years of academic/industry experience
• Or PhD with 2+ years of academic/industry experience

Requirements

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

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
  • Survivor support
• Work-life benefits include:
  • Paid Time Off
  • US Exempt Employees: flexible time off (unlimited, with manager approval), 11 paid national holidays
  • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
  • Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs, and an annual Global Shutdown between Christmas and New Year's Day.