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Post Doctoral - Research Fellow Opportunity

We have an open position of Postdoctoral Research Fellowship at McWilliams School of Biomedical Informatics at UTHealth Houston, formerly UTHealth Houston School of Biomedical Informatics (SBMI).

The successful candidate will conduct AHRQ-funded research within the field of clinical informatics, including but not limited to data collection, data analytics using machine learning approaches, web application development and system maintenance for patient safety event (PSE) reporting.

The Research Fellow will participate in the design and development of an innovative PSE reporting system, collecting and analyzing structured and unstructured PSE data using comprehensive clinical knowledge bases and advanced machine learning tools. These studies provide an excellent opportunity for the Research Fellow to work within a multidisciplinary research team, explore advanced areas in patient safety, healthcare quality related to health information technology, and compete for a faculty or industry position in the future.

Moreover, the Research Fellow will have the opportunity to propose research projects that will be suitable for external funding. The Research Fellow will be encouraged to prepare and submit a career development award proposal, as well as other research proposals as appropriate, and to lead publications. The Research Fellow will have the opportunity to enroll in the Postdoctoral Certificate Training Program provided by the Postdoctoral Affairs Office of UTHealth at no cost. The certificate program provides training on supervised research, career development, communication and teaching skills, and several benefits including a free UTHealth Recreation Center membership and discount on several campus and city services.


  • PhD degree in biomedical informatics, computer science, information science, or a closely related field; or an MD/PharmD/PhD in healthcare domains with demonstrated strength in Biomedical Informatics research;
  • Highly motivated, ability to identify potential problems and develop solutions.
  • Strong written and oral communication skills;
  • Ability to plan and carry out research experiments and projects;
  • Works independently and participates productively as a team member.
  • Familiarity with machine learning methods and experience with web application development;
  • Experience in the areas of medical terminologies/ontologies, natural language processing, or human-computer interaction is preferred.

Application materials should include:

  • Cover letter
  • CV
  • Three letters of reference preferred, or contact info of references
  • Sample publications with clearly stated individual contributions

Please send application materials to [email protected].