Department Summary
The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking a Biomedical Data Scientist to join the SMART Health IT team (http://smarthealthit.org). As a member of the team that has literally defined the national standards for healthcare data APIs and populational level clinical data and created a number of widely adopted open source projects in the space, you will be at the center of data innovation in healthcare.
Join our multidisciplinary team advancing data-driven clinical research and clinical decision support (CDS). In this role, key studies include:
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Inflammatory bowel disease (IBD): building predictive and personalized models to inform therapy selection and disease management.
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Diabetes: data-driven interpretation of continuous glucose monitoring (CGM).
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Adverse drug event (ADE) detection in immunosuppressed patients.
Position is hybrid and onsite Tuesday through Thursday.
Key Responsibilities-
Develop, analyze, and interpret large biomedical datasets to support clinical research and predictive modeling.
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Develop repeatable pipelines in Python 3 using pandas, scikit-learn, and other statistical tools.
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Query and manage health datasets using SQL on AWS cloud
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Collaborate with clinicians, scientists, and programmers to translate complex health datasets into actionable clinical insights.
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Contribute to peer-reviewed publications.
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Create or contribute to a range of compelling communications (e.g., PowerPoint presentations, e-mails, memos, scientific presentations, and publications) that clearly deliver content, preparing communications appropriate for management and internal distributions.
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Present at project and internal/external meetings; effectively conveying progress and asserting point of view; constructively discusses issues and providing facts; builds credibility and trust by asking thoughtful questions and actively listening; runs productive project meetings that advance problem-solving.
Minimum QualificationsEducation:-
Bachelor’s degree in a STEM field required; PhD, MD, or MS preferred.
Experience:-
A minimum of one year of position-specific experience might potentially include experience acquired through MSc or Ph.D. studies.
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Demonstrated proficiency in Python 3 and SQL.
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Strong foundation in statistics and applied quantitative methods.
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Familiarity with fast healthcare interoperability resources (FHIR) or large language models (LLM) is a plus and can be learned on the job.
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Excellent communication, teamwork, and problem-solving skills.
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Excellent problem-solving ability, collaborative spirit, and scientific curiosity.