Post-doctoral Research Fellow in Exposure Informatics - University of Utah

LOCATION: Salt Lake City, UT

CLOSING DATE: November 30, 2018


JOB #: 13217

POSTED: October 30, 2018


The Department of Biomedical Informatics is seeking a post-doctoral research fellow with expertise in biomedical informatics to work in developing methods to integrate, assimilate and analyze heterogeneous omics data with environmental data (such as IoT devices, environmental sensors, geospatial locations, computational models, socio-economic and behavioral) and clinical data in order to support translational exposomic research. She/He will work with the faculty in the Department of Biomedical Informatics and with the engineering staff of the Center for Clinical and Translational Science Biomedical Informatics Core on big data integration, metadata and semantics, and big data analytics including spatio-temporal computational models and uncertainty characterization. The post-doc will advance current work and collaborate with environment health and exposure science teams and projects such as the PRISMS ( and Environmental Influences on Child Health Outcomes (ECHO) ( projects at University of Utah that use advanced distributed computing and semantics by integrating heterogeneous data with exposomic data for clinical and translational research for conditions such as asthma, and their clinical management.

This is a two-year appointment with the expectations of annual renewals upon satisfactory performance.
The University of Utah is an Equal Opportunity/Affirmative Action employer and educator. Minorities, women, and persons with disabilities are strongly encouraged to apply. Veteran’s preference. Reasonable accommodations provided. For additional information:

  • A Completed Doctoral degree in Biomedical Informatics or a related field, e.g. Bioinformatics, Genomics, Epidemiology, Computer Science, Software Engineering.
  • Programming skills and experience in the application of computational methods are highly desirable.
  • Good English skills (writing, speaking).
  • Ability to work independently, and within teams.
  • Must be a US national or permanent resident.
  • Experience with any of the following:
    • Standard engineering and coding practices for developing large scientific computing software preferably using Java or python.
    • Experience with genomic and other bioinformatics data semantics.
    • Experience with metadata discovery and management methods.
    • Experience with Big Data technologies (e.g. graph databases) and analytics.


How to Apply:

If you are interested in this position, please email your CV to Professor Ramkiran Gouripeddi or Professor Julio Facelli (