Senior LLM / Machine Learning Engineer – Clinical Platforms

Job Posting Description
The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team. In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will 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.

Status

Full-Time

Regular, Temporary, Per Diem

Regular

Standard Hours per Week

40

Pay Range

$78540.80-$125652.80 Annual

Office/Site Location

Boston

Job Posting Category

Information Technology

Remote Eligibility

Part Remote/Hybrid

• 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. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Design, develop, and evaluate predictive models and advanced algorithms that maximize value extracted from the data. Generate and test hypotheses and analyze the results of experiments.
• With minimal supervision and direction, complete assignments in the required timeframe; adhere to standard operating procedures and best practices; maintain and upgrade biomedical informatics tools, methods, and technologies; migrate data, document changes, and adjust internal processes; resolve problems and seek supervisor assistance when needed.
• Routinely lead, co-lead, or participate in biomedical informatics projects with BCH researchers and external collaborators; set goals and objectives, coordinate work with stakeholders, and contribute to resulting presentations and/or publications.
• Train staff and researchers; tailor presentations; develop, implement, and maintain knowledge management systems.
• Create or contribute to communications (e.g., PowerPoint presentations, emails, memos, scientific presentations, and publications) that clearly deliver content; prepare communications for management and internal distributions.
• Present at project meetings; convey progress, discuss issues, and provide facts; build credibility by asking thoughtful questions and listening; run productive meetings that advance problem-solving.

• Education:
  Bachelor’s degree in a STEM field; PhD, MD, MPH or MS preferred
• Experience:
  2-3 years in a professional work environment outside of academia
• Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation
• Strong foundation in statistics and applied quantitative methods
• Familiarity with Fast Healthcare Interoperability Resources (FHIR) is a plus and can be learned on the job
• Excellent communication, teamwork, and problem-solving skills
• Excellent problem-solving ability, collaborative spirit, and scientific curiosity

Senior (5+ years of experience)