About the role

  • Data Scientist developing AI-enabled applications and backend services for scientific workflows. Collaborating with cross-functional teams to gather requirements and deliver production-ready solutions.

Responsibilities

  • Design, develop, and maintain backend services and AI-enabled applications that support scientific and bioprocessing workflows
  • Develop and optimize retrieval components (e.g., embeddings, document indexing, vector search) used in RAG-based applications
  • Support integration and access to scientific and operational databases through well-defined APIs and backend services
  • Package internal tools, data pipelines, and workflows as reusable AI-enabled components or agents that can be executed within orchestration or workflow frameworks
  • Collaborate closely with scientists, data engineers, and platform teams to gather requirements, define technical specifications, and deliver reliable, production-ready solutions
  • Create clear technical documentation and usage guides to support internal adoption and long-term maintainability

Requirements

  • 2+ years of professional software engineering experience building backend or data-driven applications
  • Proficiency in Python and experience developing APIs, services, or microservices
  • Solid understanding of data fundamentals, including data preprocessing, structured data handling, and data quality considerations
  • Strong analytical, problem-solving, and debugging skills
  • Ability to work independently and collaboratively in cross-functional engineering and scientific teams

Benefits

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

Job title

Data Scientist, AI Infrastructure, MCP

Job type

Experience level

JuniorMid level

Salary

$88,000 - $116,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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