Role overview
Anticipated Closing Date: 01/13/2026
Position:** Data Scientist
Full Position Salary Range: $89,934.27/year - $113,926.04/year
What you'll work on
- Master’s degree in data science, Computer Science, Statistics, or a related field. Or a bachelor’s with equivalent skills or experience
- Ample experience in healthcare analytics, including working with CPT and diagnosis codes.
- Proficiency in working with Relative Value Units to assess provider productivity, optimize resource allocation, and evaluate financial performance.
- Advanced proficiency in SQL, Power BI, and relational databases.
- Strong knowledge of machine learning frameworks and programming languages.
- Experience with statistical modeling, predictive analytics, and financial forecasting.
- Familiarity with ETL processes, data warehouses, and data cleaning techniques.
- Strong understanding of healthcare regulation, including HIPAA and PHI management.
- Excellent communication and storytelling skills with data visualization tools.
- Experience writing and maintaining clear, structured documentation for data processes, models and workflows
- Ability to develop financial models that incorporate historical visit trends, payer mix, reimbursement rates, and operational costs to produce accurate revenue forecasts.
- Bonus: GIS expertise and experience with HL7/FHIR standards.
What we're looking for
- Design analytical tools and frameworks to monitor business trends, financial, quality, and other performance indicators
- Identify methods to improve data collection, analysis, and reporting
- Write SQL code to support dynamic reporting and visualization efforts, including joining data tables and cleaning/harmonizing data fields
- Execute ad-hoc analysis to address specific business questions from internal and external stakeholder groups
- Build and maintain VP-, C-Suite-, and Board-level reports and KPIs
- Ensure data collection and reporting processes are in compliance with various local, federal, and private funding requirements, both legal and medical
Interview process
- Lead the adoption of information architecture that meets and evolves with the organization’s needs
- Implement data strategy, build data capacity, and optimize systems to improve patient health outcomes
- Acquire and standardize data from primary and secondary sources and maintain data systems
- Initiate data fixes, process improvements, and perform testing/validation activities
- Manage systems for efficiently collecting, analyzing, and reporting on key data
Tags & focus areas
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