Jobs

Medical Artificial Intelligence (MEDai, Inc.�) is a leading health information company, offering award-winning solutions to the payor and provider markets. These processes provide healthcare providers solutions that incorporate disease focused severity adjustment, benchmarking and evidence-based processes of care to improve outcomes in a hospital-based setting. Payors and care management organizations are able to predict patients at risk, identify cost drivers for their high-risk population, forecast future health plan costs, evaluate patient patterns over time, and improve outcomes.

MEDai won a first place (predictive models with the highest R² and lowest MAPE) in the Society of Actuaries 2006 independent study:

A Comparative Analysis of Claim-Based Tools for Health Risk Assessment

The research analyst position requires someone with comprehensive knowledge in the field of predictive modeling, data analysis and data mining methodologies. The ideal candidate should be a team player and will work in our R&D team.

Job responsibilities:

• Analyses and modeling of large medical claims databases;
• Enhancement of currently defined models and heuristic applications;
• Development of customized models;
• Programming predictive modeling algorithms;

• Master's degree (Ph.D. preferred) in quantitative discipline: statistics, applied math, data mining, machine learning, operations research, computer science, etc.
• Comprehensive understanding of some of the following quantitative methods: regression, classification, cluster analysis, decision trees, hypothesis testing, neural nets, SVM, time series, outlier identification, simulated annealing, genetic algorithms, etc.;
• Extreme attention to details;
• Strong proficiency in SAS, C++ and SQL;
• Experience with large data sets, experience in the field of health care, good publications, all are a plus;
• Team player.

Casual business environment, onsite exercise facility.

Contact:
If interested, please send your resume and salary requirements to OAsparouhov@medai.com or humres@medai.com