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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
Information Technology
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RTI is dedicated to improving public well-being by bringing the highest standards of quality, objectivity, and excellence to bear on information and analysis for our partners and clients. This position in the division for eHealth, Quality and Analytics focuses on healthcare data analytics to produce actionable information to inform decision making that supports program administration, payment reform and quality improvement. Come join our vibrant and growing team and make important contributions to improving the design and operations of key public and private sector programs.

RTI seeks a senior health informatics and analytics leader with expertise in the strategy, design, development and implementation of applied data science and advanced analytics efforts for data analytic and statistical programming projects within the healthcare domain.  S/he will lead advanced analytic business development strategies, analytic projects involving multiple sources of data (EHR, claims, device, patient-generated) and participate in strategic planning around analytic methods, technologies, staffing and training.  
Successful candidate will participate in activities related to data integration, data cleaning, descriptive analyses, predictive analyses, exploratory analyses, data mining, text analytics, rapid prototyping, and data visualization.



  • Manage healthcare-related analytics projects and tasks
  • Develop healthcare data analytics strategy
  • Lead business development efforts (proposals, strategies, capabilities) for analytics opportunities in the healthcare domain
  • Coordinate the design, development, and implementation of analytics solutions to support state and private sector projects and clients
  • Plan and organize methodological standards, standardized processes, demos, and proofs of concept for RTIs healthcare analytics capabilities
  • Interface with clients and serve as a point-of-contact for RTI’s health data analytics team to determine and carry out business requirements
  • Advise senior management on opportunities and gaps in current health data analytics and related technological capabilities and recommend plans for growth through the adoption of new methodologies and technologies.


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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