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Sr Data Scientist - Precision Medicine Clinical AI

Johns Hopkins Health System · Remote · Baltimore

Job description

Requisition #:

670460

Location:

Johns Hopkins Health System, Baltimore, MD 21201

Category:

Information Technology

Schedule:

Day Shift

Employment Type:

Full Time

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.

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