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"When I was still in college and working at RTI as an intern, I knew it was somewhere that I wanted to work full-time one day. RTI holds its employees to the highest standards, which allows for continuous growth both professionally and personally. I love being able to walk around campus and be immersed in a community of knowledgeable, hard-working innovators who all have a primary goal of improving the human condition." Lily Duchesneau Financial Analyst- SSES Strategic Pricing Group
"It is a pleasure to be part of a company that has such a positive outreach and works to improve the human condition. With a great reputation in the local community and abroad, it is easy to feel proud of the products and services produced by RTI. I like the variation of my role and that I get to work with a wide variety of people across the globe. I enjoy working at RTI because it is a place that demands excellence while still allowing a healthy work-life balance." Tierra Vazquez Sr. Administrative Assistant-International Education
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Information Technology
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SSES SPHERE
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180FG Requisition #
Thanks for your interest in the Senior Health Informaticist position. Unfortunately this position has been closed but you can search our 170 open jobs by clicking here.

Required Experience/Qualifications

  • Master’s degree and 12 years of experience or PhD or MD and 8 years of experience in relevant field
  • 5-7 years of experience in advanced analytics, including descriptive and predictive modeling, NLP, or other data intensive analytical role
  • 2-3 years project management experience
  • 2-3 years of experience contributing to and leading business development efforts and business proposals
  • Experience working with clinical and claims data
  • Expertise with clinical data and interoperability standards (CCDA, HL7, FHIR) and common data models (e.g., i2b2, OMOP)
  • Proven ability to design and leverage analytic methods to support client needs and client data driven decision-making
  • Experience working with large-scale databases, big data frameworks, and tools
  • Extensive experience with SAS, R, SQL, and/or Python in the application of machine learning, network analysis, text analytics and/or predictive modeling
  • Experience with data visualization tools and the creation of dashboards and reports
  • Proven ability to effectively communicate design specifications, data science methods and results of models to internal and external audiences
  • Experience formulating or contributing to proof of concept analyses or demos is high desired

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