Senior Statistician

Job Description

Job Description

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.

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 [email protected]. Please note that unless you are requesting accommodation, all applications must be submitted through our online application system.