About The Position

The University of Tennessee Health Sciences, Department of Genetics, Genomics, and Informatics, is recruiting a full-time, tenure-track Associate Professor. The role is centered on building and sustaining an externally funded research program that complements departmental strengths in genetics, genomics, bioinformatics, data analytics, and AI-driven biomedical research. The Associate Professor will conduct and publish high-impact research, pursue and maintain extramural funding, collaborate with researchers within and outside UT Health Sciences, teach advanced courses in relevant fields, and mentor students and trainees. The position may also supervise students, fellows, research staff, programmers, technicians, and other laboratory personnel.

Requirements

  • Ph.D. or equivalent degree in Computational Genetics, Genomics, Bioinformatics, or a related biological or computational field.
  • Six or more years of experience at the Assistant Professor level or equivalent.
  • A strong record of research productivity, method development, collaboration, and national/extramural funding.
  • Experience in computational genetics and genomics, high-performance computing, protein structure and motifs, AI-driven methods, or quantum computing.

Nice To Haves

  • Biomedical research experience in areas such as pharmacogenomics, neurogenetics, geroscience, cancer therapeutics, clinical/population genetics, or related fields.
  • A strong publication record, including lead- and/or senior-author publications.

Responsibilities

  • Establish and maintain an externally funded research program complementary to departmental strengths in genetics, genomics, bioinformatics, data analytics, and AI-driven biomedical research.
  • Conduct and publish high-impact research.
  • Apply for and maintain extramural funding.
  • Collaborate with researchers within and outside of UT Health Sciences.
  • Teach advanced courses in genetics, genomics, informatics, pharmacology, or related areas.
  • Mentor students and trainees.
  • May supervise students, fellows, research staff, programmers, technicians, and other laboratory personnel.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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