Senior Statistician - Federal Health (CMS)
Baltimore, MD Healthcare Operations
Job Type
Full-time
Description

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care. 


With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.  


Requirements

We are seeking an experienced Statistician to support a CMS healthcare program. In this role, you will apply advanced statistical and quantitative methods to support program performance monitoring, data quality analysis, and dispute resolution analytics. The Statistician will play a critical role in helping CMS understand trends in out-of-network billing disputes, IDR case outcomes, and program compliance data under the No Surprises Act.  


Key Responsibilities 

  • Design and execute statistical analyses supporting program reporting, quality assurance, and performance measurement 
  • Develop and maintain analytical models to assess IDR case trends, payment patterns, and dispute resolution outcomes 
  • Produce statistical summaries, dashboards, and data visualizations for CMS program stakeholders 
  • Ensure data quality and integrity across program data systems; identify anomalies and reporting inconsistencies 
  • Support development of CMS-required performance metrics and program evaluation reports 
  • Apply sampling methodologies, regression analysis, and predictive modeling as appropriate 
  • Collaborate with IT/data engineering teams to access and process large-scale claims and case management data 
  • Respond to ad hoc analytical requests from CMS leadership and policy teams 

Minimum Qualifications 

  • Master's degree or Ph.D. in Statistics, Biostatistics, Epidemiology, Mathematics, Health Services Research, or a closely related quantitative field 
  • 3+ years (Master's) or 1+ year (Ph.D.) of applied statistical analysis in a federal health program or healthcare setting 
  • Proficiency in statistical software: R, SAS, STATA, or Python (pandas, scipy, statsmodels) 
  • Experience with large administrative datasets (claims data, case management data, or similar) 
  • Strong foundation in descriptive statistics, regression modeling, hypothesis testing, and sampling methodology 
  • Demonstrated ability to communicate statistical findings clearly to non-technical audiences in written reports and presentations 
  • Must be eligible for CMS Public Trust (MBI) clearance 

Preferred Qualifications 

  • Direct experience with CMS data systems (CCW, IDR portal data, MAX/T-MSIS, or similar) 
  • Familiarity with health insurance claims data, provider billing, or out-of-network payment analytics 
  • Experience with federal program evaluation, GAO audit support, or OIG data analysis 
  • Background in dispute resolution data analysis, legal analytics, or regulatory compliance metrics 
  • Experience with data visualization tools (Tableau, Power BI) 
  • Knowledge of No Surprises Act or surprise billing policy analytics 

*Commence' headquarters are in Virgina Beach, VA, however we are open to remote candidates in the following states:   AZ, AR, DE, FL, GA, IL, IN, KS, KY, MA, MD, MI, MS, MO, MT, NC, NE, NV, NY, OH, OK, PA, SC, TN, TX, VA, DC, WI, and WV* 


Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai. Please note that unless you are requesting accommodation, all applications must be submitted through our online application system.