Description

You will develop frameworks to quantify the ROI and performance of AI/ML projects across healthcare domains.

Responsibilities

• Develop standardized frameworks to track ROI and establish baselines, targets, and monitoring processes for AI/ML investments.
• Construct and maintain performance dashboards to monitor model accuracy, precision, recall, and operational metrics like cost savings and patient outcomes.
• Build production-level code using Python and SQL for data exploration, cleaning, and transformation across EHR and claims data.
• Partner with clinicians, IT professionals, and executives to identify high-impact AI/ML use cases and communicate technical findings to non-technical stakeholders.
• Collaborate with software engineering teams to implement model retraining, adjustments, and fixes.

Required Skills

• 5+ years of experience in data science or a related quantitative field.
• Expertise in Python and SQL for data manipulation and statistical analysis.
• Proficiency in machine learning algorithms, statistical modeling, and performance evaluation.
• Experience building dashboards using Tableau or Looker Studio.
• Familiarity with electronic health records (EHR) systems and healthcare data structures.
• Knowledge of HIPAA and healthcare metrics such as readmission rates and length of stay.
• Proven ability to design and track ROI metrics for AI/ML initiatives.
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.

Preferred Skills

• Master’s degree or PhD in Data Science or Biomedical Informatics.
• Experience with Google Cloud Platform, git, GitHub, and Docker.
• Familiarity with the Epic Clarity data model.

Key Skills

Education

Master's degree