Boston Children’s Hospital is hiring: Senior LLM / Machine Learning Engineer – C
Boston Children’s Hospital, Boston, MA, United States
Position Summary
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 (http://smarthealthit.org). 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.
Key Responsibilities
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. Use a flexible, analytical approach to 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; consistently 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 associated with assignments and seek supervisor assistance when needed.
Routinely lead, co‑lead, or participate in biomedical informatics projects with other members from the BCH research community and external collaborators; set goals and objectives for projects and demonstrate achievement of those goals and objectives; coordinate work activities with other stakeholders; contribute to the resulting presentations and/or publications.
Train staff and researchers; tailor presentations effectively; develop, implement, and maintain knowledge management systems.
Create or contribute to a range of compelling communications (e.g., PowerPoint presentations, e‑mails, 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 assert points of view; constructively discuss issues and provide facts; build credibility and trust by asking thoughtful questions and actively listening; run productive project meetings that advance problem‑solving.
Minimum Qualifications
Education
Bachelor’s degree in a STEM; PhD, MD, MPH or MS preferred.
Experience
2–3 years of experience in a professional work environment outside of an 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.
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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 (http://smarthealthit.org). 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.
Key Responsibilities
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. Use a flexible, analytical approach to 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; consistently 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 associated with assignments and seek supervisor assistance when needed.
Routinely lead, co‑lead, or participate in biomedical informatics projects with other members from the BCH research community and external collaborators; set goals and objectives for projects and demonstrate achievement of those goals and objectives; coordinate work activities with other stakeholders; contribute to the resulting presentations and/or publications.
Train staff and researchers; tailor presentations effectively; develop, implement, and maintain knowledge management systems.
Create or contribute to a range of compelling communications (e.g., PowerPoint presentations, e‑mails, 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 assert points of view; constructively discuss issues and provide facts; build credibility and trust by asking thoughtful questions and actively listening; run productive project meetings that advance problem‑solving.
Minimum Qualifications
Education
Bachelor’s degree in a STEM; PhD, MD, MPH or MS preferred.
Experience
2–3 years of experience in a professional work environment outside of an 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.
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