Senior LLM​/Machine Learning Engineer – Clinical Platforms

Overview

Position Summary The Computational Health Informatics Program ((Use the "Apply for this Job" box below).) 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  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.

Position Summary (duplicate text removed to improve readability). The description below consolidates the responsibilities and qualifications for the role without duplicating paragraphs.

• 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 lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of experiments.
• With minimal supervision and direction, complete assignments in the required timeframe; adhere to and promote 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 for projects and demonstrate achievement; coordinate work activities with stakeholders; contribute to 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 appropriate for management and internal distributions.
• Present at project meetings; effectively convey progress and opinions; discuss issues constructively and provide facts; build credibility by asking thoughtful questions and active listening; run productive project meetings that advance problem-solving.

Education
Bachelor’s degree in a STEM field;
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.
• 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.

The posted pay range is Boston Children’s reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes 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 and discounted rates on T-passes.

Experience the benefits of passion and teamwork.