Remote Easiest Computer Science Jobs in Reston, VA

• Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms.
• Lead projects and manage major project workstreams including but not limited to advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms.
• Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations.
• Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data.
• Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms.
• Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets.
• Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows.
• Serve as a technical lead and mentor to data analysts and data scientists.
• Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field.
• At least 9 years of relevant experience (or 12 years with a Bachelor's degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling.
• Demonstrated experience leading project teams or teams conducting substantial work streams on larger projects.
• Demonstrated experience working with Medicare and/or Medicaid administrative or claims data.
• Experience accessing and analyzing CMS data through the Chronic Conditions Warehouse (CCW) / Virtual Research Data Center (VRDC).
• Demonstrated ability to lead complex analytic work, mentor technical staff, and communicate results to technical and non-technical audiences.
• Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

Strongly Preferred Qualifications:

• Master's degree or higher in a relevant field.
• Experience supporting CMS Innovation Center (CMMI) model implementation, monitoring, or evaluation.
• Experience working with CMS data environments, including Model Space and the Integrated Data Repository (IDR).
• Hands-on experience with T-MSIS/TAF, state Medicaid claims and encounter data, Medicare Advantage encounter data, and Medicare Part D prescription drug data.
• Proficiency with SAS, SQL, R, and/or Python, and experience working in modern data warehouse or data lake environments.
• Experience leading or contributing to technical proposal writing for federal health care analytics or evaluation work.

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.