Machine Learning Engineer, Foundation Models (Prescient / AI for Drug Discovery) - MedStar Health : Job Details

Job Title: Machine Learning Engineer

Location with zip code: Brooklyn, NY

Duration: Long Term

Interview Type: Webcam Interview or In Person

Visa: USC/GC only

Pay rate: $82/hr on W2 (without benefits)

Job Description:

• This role is critical for bridging the gap between business users and the AI/ML team by documenting workflows and data structures within a legacy EHR system. It ensures machine learning efforts are grounded in real operational context while supporting user training and adoption of new features.

Required Skills:

• Collaborate with clinical, administrative, and technical staff to document business workflows and develop a deep understanding of how EHR data is captured and used.
• Build subject matter expertise in EHR system behavior, data structures, and operational processes.
• Author clear, comprehensive documentation, including data dictionaries, workflow diagrams, and technical notes that support knowledge transfer and model development.
• Act as a liaison between business users and developers, particularly when new EHR features or data elements are introduced.
• Support rollout of application updates by training users, gathering feedback, and creating reference materials to ensure smooth adoption of new workflows and data entry practices.
• Use Python, SQL, and foundational machine learning techniques to analyze and model clinical and operational data stored in Oracle databases.
• Clean and query large datasets to prepare training data and derive insights that feed into dashboards, reports, and predictive models.
• Build and deploy AI/ML models integrated into tools that support decision-making and operational improvement.
• Translate complex data findings into actionable insights through structured storytelling, effective visualizations, and clear communication.