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.