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Sr. Research Scientist


Play an important role in improving the quality and efficiency of clinical healthcare delivery, be capable of project leadership, have experience in machine learning and data mining of big data sets.



MEDaiCompany: MEDai
Location: Orlando, FL
Web: www.medai.com

MEDai, Inc., a LexisNexis Company, is a national leader in the field of data mining, predictive modeling, and clinical analytics solutions for healthcare payers and providers. Utilizing MEDai’s award-winning predictive modeling solutions, clinical analytics expertise, and cutting-edge technology, healthcare stakeholders across the Clinical Integration spectrum are empowered in their drive to improve the quality and cost efficiency of patient and population healthcare delivery.

MEDai currently has an opening for a Senior Research Scientist. The ideal candidate will have passion, ambition, and a vision to play an important role in improving the quality and efficiency of clinical healthcare delivery to patients and patient populations. The ideal candidate will be a team player and also capable of project leadership, have a “can do” attitude, demonstrate “problem solver” capabilities, and possess a solid statistical/ mathematical and/or computer science education and skill-set.

The ideal candidate will also have research and/or development experience in machine learning and data mining or modeling “big data” sets. Experience working with claims data in large insurance plans or working with clinicians (physicians, nurses) in clinical settings is a “big plus,” although not a requirement.

Responsibilities

  • Explore and analyze large medical databases: medical claims, hospital discharges, and/or real-time EMR data feeds.
  • Research and define variables for analysis and prediction of medical risks
  • Evaluate patients’ current and future risk based on claims and non-claims data
  • Support daily production tasks that require scientists’ involvement
  • Conduct QA of models’ outcomes and regularly monitor model performance
  • Enhance existing predictive models and analytics, and develop new models
  • Develop, implement, and validate new predictive modeling algorithms and applications
  • Build statistical models and complete various analytical projects
  • Provide consultation, training, and analysis to clients, account management and sales staff, and other company personnel
  • Deliver sales presentations and product demonstrations as needed
  • Propose new project and product ideas and provide critical guidance for the development and implementation of models and analytics products
  • Suggest/build software tools to streamline the building of models and other analytics
  • Maintain active research and follow industry trends in health risk assessment and analytics in general
  • Publish and/or present novel work in highly regarded journals and meeting forums
  • Work under minimum supervision
  • Serves as a team lead, providing oversight and direction, as well as serve as a team member

Required Skills & Abilities

  • Ph.D. degree in quantitative discipline: statistics, applied mathematics, computer science, data mining, machine learning, etc.
  • Excellent knowledge and thorough understanding of the following statistical techniques and machine learning algorithms: linear and nonlinear regression, logistic regression, classification, cluster analysis, hypothesis testing, decision trees, CART, CHAID, neural nets, SVM, etc.
  • 5+ years’ experience in data modeling or comparable work
  • Strong proficiency in SAS, R, or other statistical packages
  • Coursework and experience in numerical computing and mathematical software
  • Knowledge of database and proficiency using SQL language
  • Attention to details
  • Ability to work independently as well as a member of a team
  • Good communication and presentation skills

Desired Additional Skills & Abilities

  • Experience in machine learning, data mining, and/or statistical modeling
  • Experience with handling and modeling large, complex, and “noisy” data
  • Strong knowledge of .Net framework, C# or C++ or Java
  • Experience working in/with large insurance plan and/or clinical setting
  • Familiarity with business intelligence system, dashboard reporting, and analytical reporting
  • Familiarity with techniques of “big data” analytics
  • Clinical or medical knowledge/education

_Contact_:
Email resumes to Kristin.Rohrer@lexisnexis.com

LexisNexis Risk Solutions (www.lexisnexis.com/risk) is a leader in providing essential information that helps customers across industries and government predict, assess and manage risk. Combining cutting-edge technology, unique data and advanced analytics, Risk Solutions provides products and services that address evolving client needs in the risk sector while upholding the highest standards of security and privacy. LexisNexis Risk Solutions is part of Reed Elsevier, a leading publisher and information provider that serves customers in more than 100 countries with more than 30,000 employees worldwide.

LexisNexis Risk Solutions is an Equal Opportunity/Affirmative Action Employer.


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