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Assistant Professor, Texas Institute for Restorative Neurotechnologies (TIRN) - Neurology, McGovern Medical School

Job Description

McGovern Medical School at UTHealth Houston , Department of Neurology , is seeking a computational geneticist with neuroscience expertise to join the Texas Institute for Restorative Neurotechnologies as a Research-Track Assistant Professor.


The prospective candidate would have the opportunity to participate in neuro-genetics initiatives, engage in field-leading research, and receive support to develop grants and collaborate and submit research findings for publication to advance the scientific knowledge of others. Research expertise/knowledge, demonstrated by peer-reviewed publications in neuro-genetics, neuroinformatics, epilepsy, and other neurological disorders is most preferred.  


Position Key Accountabilities


  • Work independently and collaborate on research projects that will focus on developing and conducting quantitative and qualitative research in areas of clinical neuro-genetics and precision medicine-based risk counseling for neurological disorders

  • Participate in committees at the school and university levels, contribute to the broader community, and help enhance the curriculum for medical students, residents, fellows, and post-docs.

  • Mentor post-docs and graduate student research assistants in research and development activities.

  • Participate, develop, and increase the scope of collaborative and funded – program portfolio for the institution. Independent extramural funding is encouraged, but not required.

  • Assist UTHealth Houston's Chief Data Scientist in strategic planning, operational activities across schools, and inter-institution collaborations involving health data.



  • Doctorate Degree (Ph.D.) with 1 year of experience as a Research Associate or Postdoctoral Fellow beyond the terminal degree in related research environment with verifiable publications. 
  • History of participation in extramural research funding.  
  • Outstanding research, interpersonal and comunication skills.


Preferred Qualifications:

  • Expertise in using array- and sequencing-based bioinformatics methods in epilepsy.
  • Background in neuro-genetics.

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