Hiring.Camp

Postdoctoral Fellow

Meharry

·

Aug 15, 2026

Location
Main Campus, United States of America
Type
Full-time
Education
PhD
Source
Workday

Description

The Postdoctoral Fellow will support an NIH R16-funded research project. The position focuses on data analytics, computational genomics, machine learning, and the application of metagenomics to dental diseases. The Postdoctoral Fellow will work closely with the PI on collaborative, interdisciplinary projects and contribute to student training, while advancing Meharry’s mission in biomedical research and workforce development. The position provides access to state-of-the-art computational infrastructure and offers opportunities for career development, publications, and grant participation.

Essential Functions (Principal Duties and Job Responsibilities):

  • Conduct analysis of data generated from R16-funded research projects (25%)
  • Develop and apply AI/ML methods to biomedical data, including pipeline development (25%)
  • Participate in collaborative research activities, including manuscript preparation and grant development (25%)
  • Assist the PI in workshops, mentoring, and training of students and junior trainees (25%)

                                                                                                               

Knowledge, Skills and Abilities Required:

  • Solid computing background or data experience, e.g., supercomputing and machine learning;
  • Good programming skills in at least one programming language (e.g., Python, R, etc).
  • A good understanding of genetics or molecular biology is a plus, but not required. 

Knowledge, Skills, Abilities Preferred:

  • Computing background

Education and Experience Required:

  • Ph.D. in either computer science, bioinformatics, quantitative science, computational biology, or related field.

Equal Employment Opportunity Statement

Meharry Medical College complies with Title IX and is an affirmative action employer. Candidates will be considered for employment without discrimination for an non-merit reason such as race, color, national origin, sex, religion, age, handicap or veteran status.

Skills

PythonMachine LearningR

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