SR DATA SCIENTIST - PRECISION MEDICINE CLINICAL AI

Location: Johns Hopkins Medicine, 750 E. Pratt St., 5th Floor, Baltimore, MD 21202 Schedule: Monday–Friday, 8:30 AM–5:00 PM Work Arrangement: Hybrid/Remote; onsite 1–2 days/month, plus additional days for Go-Lives, weekends, and special projects. Must be located in Maryland, Virginia, Washington, DC, Pennsylvania or Delaware Overview Lead the design, development, and evaluation of AI/ML solutions that support clinical decision-making and healthcare operations. Partner with clinicians, engineers, researchers, and IT teams to implement and assess AI technologies. Key Responsibilities • Develop ML models for classification, risk prediction, NLP, and LLM applications. • Translate research models into production-ready solutions integrated with Epic. • Evaluate AI models using metrics such as F1, ROUGE, and groundedness. • Benchmark and assess vendor AI solutions. • Apply explainability and fairness techniques. • Support AI pilots, rollouts, and stakeholder education. • Present findings to clinical and technical audiences. Required Education • Master's degree in Mathematics, Statistics, Computer Science, Biomedical Informatics, or related field. • PhD preferred. Required Experience • 7+ years of research, analytics, or data science experience. • 5+ years of advanced programming experience. • Strong Python and SQL skills. Preferred Qualifications • Healthcare data experience (Epic Clarity, Caboodle, FHIR, OMOP). • Azure ML, Databricks, or Microsoft Fabric experience. • NLP and LLM experience (prompt engineering, Healthcare NLP tools). • Scala proficiency. • Experience in regulated healthcare environments. Key Skills • Machine Learning & Predictive Analytics • Statistical Modeling & Data Science • Python, SQL, R, Java • Databricks, Azure Data Factory, Jupyter • Project Leadership & Team Mentoring • Critical Thinking & Problem Solving • Strong Communication & Documentation Skills • Ability to manage multiple priorities and stakeholders Ideal Candidate: Experienced healthcare data scientist with strong AI/ML expertise, leadership experience, and the ability to deploy practical solutions in a clinical environment.