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:

• Inflammatory bowel disease (IBD): building predictive and personalized models to inform therapy selection and disease management.
• Diabetes: data-driven interpretation of continuous glucose monitoring (CGM).
• 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.
• Develop repeatable pipelines in Python 3 using pandas, scikit-learn, and other statistical tools.
• Query and manage health datasets using SQL on AWS cloud
• Collaborate with clinicians, scientists, and programmers to translate complex health datasets into actionable clinical insights.
• Contribute to peer-reviewed publications.
• 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.
• 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 Qualifications
Education:

• 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.
• Demonstrated proficiency in Python 3 and SQL.
• Strong foundation in statistics and applied quantitative methods.
• Familiarity with fast healthcare interoperability resources (FHIR) or large language models (LLM) 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.