Job Description:
- 1. Define and Track ROI Metrics
- Develop standardized frameworks to quantify the performance and ROI of AI/ML projects across various healthcare domains.
- Establish baselines, targets, and monitoring processes to measure project impact that help guide ongoing investment decisions.
- AI/ML Performance Evaluation
- Construct and maintain robust performance dashboards and reports highlighting AI/ML model accuracy, precision, recall, and other project-specific metrics such as operational effectiveness, cost savings, and patient outcomes.
- Analyze model performance and operational metrics to identify trends, anomalies, and areas of improvement.
- Work closely with other data scientists and the software engineering team to drive the implementation of model retraining, adjustments, and fixes as needed.
- Data Analysis and Dashboard and Report Development
- Utilize programming languages like Python and SQL to build and maintain production-level code necessary for defining and tracking ROI and AI/ML performance metrics.
- Create data exploration, cleaning, transformation scripts as necessary to support defining robust metrics applicable to each AI/ML projects across diverse healthcare data sources (e.g., EHR data, claims data, patient outcomes).
- Employ statistical techniques necessary to draw conclusions about AI/ML solution effectiveness and evaluate the tangible benefits of AI/ML projects in the areas of patient care quality, cost reduction, and operational efficiency.
- Cross-Functional Collaboration
- Partner with clinicians, administrators, IT professionals, and executive leadership to identify pain points where AI/ML can drive high-impact solutions.
- Communicate technical findings and ROI implications to both technical and non-technical stakeholders.
- Collaborate with teams to integrate data science solutions into existing workflows and measure post-implementation success.
- Continuous Improvement
- Stay current with emerging trends in machine learning and healthcare analytics, recommending enhancements to data science and ROI tracking methodologies.
- Actively contribute to the growth and development of HMH’s data science team culture by sharing best practices.
Education, Knowledge, Skills, and Abilities Required
- Education & Technical Expertise
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Expertise with Python and SQL for data manipulation, statistical analysis, and AI/ML model evaluation.
- Expertise in building dashboards in tools like Tableau or Looker Studio
- Proficiency in machine learning algorithms, statistical modeling, and performance evaluation.
- Healthcare Knowledge
- Familiarity with electronic health records (EHR) systems, healthcare data structures, and relevant industry standards (e.g., HIPAA).
- Understanding of key healthcare metrics (e.g., readmission rates, hospital-acquired conditions, length of stay).
- Analytical and Problem-Solving Skills
- Proven track record of designing and tracking clear ROI metrics for AI/ML initiatives.
- Experience extracting insights from large and complex datasets.
- Ability to identify critical issues, propose data-driven solutions, and measure outcomes.
- Communication and Stakeholder Engagement
- Strong communication skills to articulate complex technical concepts to varied audiences.
- Demonstrated ability to influence and build relationships across clinical, operational, and technical teams.
Education, Knowledge, Skills, and Abilities Preferred
- Master’s degree or PhD in Data Science, Biomedical Informatics, or related field.
- Experience with the Google Cloud Platform, git, GitHub, Docker.
- Experience building dashboards in Looker Studio.
- In-depth knowledge of Python statistical analysis tools and frameworks.
- Familiarity with the Epic Clarity data model.
Job Type: Contract
Pay: $50.93 - $70.00 per hour
Schedule:
Experience:
- Data Science (ROI focus): 7 years (Required)
- ROI: 7 years (Required)
- healthcare domain: 7 years (Required)
- AI/ML: 7 years (Required)
- Python: 7 years (Required)
- SQL: 7 years (Required)
- electronic health records (EHR) systems: 7 years (Required)
- Looker Studio: 7 years (Required)
- Epic Clarity: 7 years (Required)
Work Location: Remote
