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Postdoctoral Fellow - Computational Geneticist BF
Job in
Stillwater, Payne County, Oklahoma, 74074, USA
Listed on 2026-06-02
Listing for:
Oklahoma State University
Full Time, Seasonal/Temporary
position Listed on 2026-06-02
Job specializations:
-
Research/Development
Research Scientist, Postdoctoral Research Fellow
Job Description & How to Apply Below
Postdoctoral Fellow - Computational Geneticist BF9491
Job no: 492884
Work type: Adjunct/Temp Faculty
Location: Stillwater
Categories: Faculty/Instructor, Research
246 Noble Research Center
Stillwater, Oklahoma
Fax:
Web: .edu
POSITION ANNOUNCEMENT
POSTDOCTORAL FELLOW
Computational Geneticist
Department of Biochemistry and Molecular Biology
Oklahoma State University
Stillwater, OK 74078
The Department of Biochemistry and Molecular Biology invites applications for the position of Postdoctoral fellow for Computational Geneticist
Position Description
Funding is available for a postdoctoral research position to work in the Department of Biochemistry and Molecular Biology at Oklahoma State University. For more information on the Department, please see The applicant hired will work with the Chen laboratory () that focuses on identifying genomic variants key to adaptation in large and complex plant genomes.
The successful candidate will lead computational efforts to characterize the importance of genomic variants, including other features such as structural variants and variations at multi-omics level, for predictive analysis. Our overarching goal is to derive genomics-enabled solution for agricultural advancement, tree improvement, and genetic resource management in the face of climate uncertainty. Additionally, the postdoc will receive mentorship and opportunities for professional development opportunities tailored to their career goals.
This is an 11-month temporary 100% research, non-tenure track position. Appointments are to be made for a term of one year or less. Reappointments for a total period of not more than two years may be made. Review of applications will begin immediately and continue until the position is filled with a suitable applicant.
Qualifications
- Ph.D. in Bioinformatics, Computational Genetics, Computer Sciences, or related field.
- Strong programming skill in Python, R, or programming languages for large-scale data analysis with in-depth knowledge in genomics, transcriptomics, and multi-modal data integration
- Familiarity with genome assembly, annotation, transcriptomics, and variant identification, as well as computational methodologies such as optimization.
- Experience with Transformer and Representation Learning.
- Excellent communication skill, team collaboration abilities, and a passion for plant associative genomics and adaptation.
- Competitive compensation- full time employment with competitive compensation scale at federal agencies such as NSF in the USA and NSERC in Canada.
- Dynamic work environment- be part of a highly dynamic multiple-disciplinary team environment across academia, government, and industry partnerships.
- Applicants must apply online tate.edu
- A cover letter addressing research interest, experience and skills that fulfill the requirements.
- A full C.V.
- Most recent or most significant publications.
- Contact information for 3 professional references.
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