Johns Hopkins Medicine · 1 day ago
Sr. Data Scientist - Clinical AI
DC-Baltimore Area
Full-time
Hybrid
Senior Level
$45.97/hr - $80.97/hr
5+ years expJohns Hopkins Medicine is innovating a new generation of AI tools that improve clinical decision-making and reduce operational burden. As a Senior Data Scientist within the Platforms & Integrations group, you will lead the design, development, and evaluation of applied machine learning solutions that bridge research and real-world healthcare delivery.
Health CareHealth DiagnosticsHospitalMedicalTraining
Responsibilities
Design and implement machine learning models tailored to clinical and administrative data, including classification, risk stratification, natural language processing, and large language model prompting
Collaborate with clinical, research, and technical teams to translate research-grade models into production-grade prototypes suitable for integration with Epic
Lead evaluation efforts for AI/ML models, including definition of success metrics (e.g. F1, ROUGE, groundedness), comparative benchmarking, and error analysis
Contribute to the evaluation and selection of vendor AI tools, including RFP support and benchmarking
Apply explainability and fairness techniques to ensure models are safe, understandable, and equitable in high-stakes environments
Contribute to the development of a repeatable approach for AI solution pilots and rollouts, including evaluation gates, stakeholder education, and feedback mechanisms
Communicate findings to diverse audiences including clinicians, IT leaders, and informaticists in clear and accessible terms
Contribute to publications when projects support dissemination
Qualification
Required
Master's degree in mathematics, statistics, computer science, biomedical informatics, or related field
5 or more years of relevant quantitative and qualitative research and analytics experience
proficiency in Python and SQL
Preferred
Experience building and evaluating model deployments in a regulated or sensitive environment
Experience working with healthcare data formats (e.g. Epic Clarity & Caboodle, FHIR, OMOP)
Experience building with model SDKs like John Snow Labs Healthcare NLP Library
Hands-on use of cloud data and ML platforms such as Azure ML, Databricks, or Microsoft Fabric
Familiarity with large language models prompt engineering techniques and integration into workflows
Proficiency in Scala
Ability to balance rigor and pragmatism in model development, including appropriate simplification for operational use
Company
Johns Hopkins Medicine
Johns Hopkins Medicine specializes in medical education, research, and clinical care.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$200MKey Investors
United States Agency for International Development
2022-08-04Grant· $200M
Leadership Team
Heather Lowe
Executive Speechwriter to the Dean and CEO
Theodore DeWeese
Interim Dean of the Medical Faculty and CEO of Johns Hopkins Medicine
Recent News
2026-01-06
2026-01-03
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