Integra Med Analytics, based in Austin, TX, is a team of researchers and economists who seek to use forensic data analysis to promote integrity in the healthcare system. We are looking for strong candidates with quantitative and/or healthcare backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Responsibilities Plan, develop, and take ownership in data-intensive investigations of healthcare fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences Qualifications - Required Completion of bachelor's degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL Experience working with healthcare data Experience working in the healthcare industry Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Apply Now: #J-18808-Ljbffr Framework Ventures
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