Berkeley Research Group (BRG) is a global consulting firm that helps leading organizations advance in three key areas: disputes and investigations, corporate finance, and performance improvement and advisory.

Proven capability with MS Excel and relational database program(s) (e.g., MS SQL Server, SAS, MS Access, Tableau, Alteryx, MS Access, MySQL, Oracle, or Teradata). Our core practice areas include antitrust and competition, class action, health disputes and investigations, intellectual property (IP), labor and employment, and securities litigation.

Experience with statistical analysis programs (e.g., SAS, SPSS, Stata, R) is desirable but not required. Join one of our fastest growing firms recognized by Forbes as one of Americas Best Management Consulting Firms, we have in-depth experience across a wide range of industries and markets.

Use programming, model building, and regression analysis skills in statistical analysis programs (such as Stata, R, or Python) and combined with their economic intuition to produce analysis for a variety of cases and/or projects across industries.

We support our clients around the world with strategic insight and expert testimony in commercial litigation, arbitration, and mediation. Healthcare Performance Improvement- Hiring in the following locations: Remote but requires travel to client sites Monday-Thursday.

The work of a Summer Associate can be either qualitative or quantitative in nature, and projects range from industry and subject matter research to data collection to the preparation of statistical, financial, and other forms of analysis.

Seeking a dynamic, goal-oriented Healthcare Economist to develop research files and analyze healthcare data for federal health projects such as program evaluations. The role requires expertise in programming (SAS, R, Python, SQL, or STATA) and quantitative analysis.

Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support program evaluations and the development of health policy.

We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Independently perform a broad range of quantitative analyses to inform the design, implementation, and evaluation of payment models and other aspects of health policy.

OptumServe Consulting (OSC)/The Lewin Group (Lewin), a premier national healthcare and human services consulting and policy analysis firm, brings more than 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors.

Ph. D. in Economics, Statistics, Public Health, Public Policy -or- Master’s degree in a related field with 3+ post graduate years of experience managing and analyzing large datasets and designing and conducting research studies.

Claim line level, revenue center codes, procedure codes, diagnosis-related groups) Claims processing concepts (e.g., final action, maturity) Inpatient vs. We're going beyond basic care to health programs integrated across the entire continuum of care.

Enact, run, and evaluate programs to enhance the delivery and financing of healthcare and family services. Write detailed specifications and documentation of data processing and analytical steps. 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.

All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures.

In the wide-ranging field of human services consulting, OSC/Lewin provides both depth and breadth of expertise. Join us and help people live healthier lives while doing your life's best work. Experience working with healthcare claims and enrollment data and familiarity with healthcare data/payment concepts such as: Claims data structure and contents (e.g., claim-level vs.