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Senior LLM / Machine Learning Engineer – Clinical Platforms

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Boston Children's Hospital

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Location:
United States , Boston

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Contract Type:
Not provided

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Salary:

78540.80 - 125652.80 USD / Year

Job Description:

Design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. Join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.

Job Responsibility:

  • Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation
  • Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling
  • Query and manage health datasets using SQL on AWS cloud
  • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
  • With minimal supervision and direction, completes assignments in the required timeframe
  • Routinely leads, co-leads, or participates in biomedical informatics projects with other members from the BCH research community and external collaborators
  • Trains staff and researchers
  • Creates or contributes to a range of compelling communications
  • Presents at project meetings

Requirements:

  • Bachelor’s degree in a STEM
  • PhD, MD, MPH or MS preferred
  • 2-3 years of experience in a professional work environment outside of academic setting
  • Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation
  • Strong foundation in statistics and applied quantitative methods
  • Excellent communication, teamwork, and problem-solving skills
  • Excellent problem-solving ability, collaborative spirit, and scientific curiosity

Nice to have:

Familiarity with fast healthcare interoperability resources (FHIR)

What we offer:
  • flexible schedules
  • affordable health, vision and dental insurance
  • child care and student loan subsidies
  • generous levels of time off
  • 403(b) Retirement Savings plan
  • Pension
  • Tuition and certain License and Certification Reimbursement
  • cell phone plan discounts
  • discounted rates on T-passes

Additional Information:

Job Posted:
January 31, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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