For those who want to invent the future of health care, here’s your opportunity. We’re going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human services consulting and policy analysis firm, brings 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors. In the wide-ranging field of health human services consulting, OSC/Lewin provides both depth and breadth of expertise.Currently, OSC/Lewin has more than 250 consultants drawn from industry, government and academia.They all share a solid commitment to OSC/Lewin’s core values of objectivity, integrity, analytical innovation, vision, and dedication to client satisfaction. At OSC/Lewin, we help federal, state, and other decision-makers strengthen health and human services programs, make informed policy choices, and implement critical initiatives. The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology. This position is not available for Visa sponsorship. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs Work with clients to verify analysis parameters and specifications Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy Efficiently query large databases of healthcare claims and eligibility data Write detailed specifications and documentation of data processing and analytical steps Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures Maintain a consistently high degree of accuracy and attention to detail in all tasks Work effectively and cooperatively as a member of a project teams Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Bachelor’s degree or higher in Statistics, Economics, Public Health, Public Policy, or related field 4+ years of experience in health/analytics field 4+ years of experience using SAS (including macro processing and Proc SQL), R, Python, or SQL in a research, consulting, or business environment 4+ years of experience analyzing Medicare and/or Medicaid claims data (e.g., T-MSIS) Experience working with healthcare claims and enrollment data in large data warehouse environments (e.g., IDR) Experience in preparing data and information for client facing reports and presentations Solid understanding and experience analyzing healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines Preferred Qualifications: Master’s degree or Ph.D. in Statistics, Economics, Public Health, Public Policy, or related field Academic coursework in statistics, econometric modeling, or other comparable coursework Experience working on Federal or State contracts supporting payment model implementation Experience conducing statistical analysis to inform health policy Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques Experience with other software such as Excel (e.g., pivot tables, VBA) Understanding of Medicare and Medicaid payment methodologies *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Rhode Island, or Washington Residents Only: The salary range for this role is $88,000 to $173,200 annually. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: OptumCare is an Equal Employment Opportunity/Affirmative Action employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #J-18808-Ljbffr
SAS VBA statistics Establishing interpersonal relationships pivot-table data-warehouse Python macros R data-visualization proc-sql Communication Meeting deadlines SQL economics Written communication skills Machine Learning Presentation skills Microsoft Excel Quality control (QC)