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The University of Texas Rio Grande Valley

Postdoctoral Fellow in Human Genetics, Multiomics, and Machine Learning University of Texas Rio Grande Valley in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral trainee position. Salary is commensurate with experience. The position is grant funded, with grant expiration on 2028-07-31.

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Country

United States

University

The University of Texas Rio Grande Valley

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Keywords

Computer Science
Biology
Mathematics
Python Programming
Medical Science
Omics
Genetic
Statistics
Bioinformatic
ML

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About this position

University of Texas Rio Grande Valley is advertising a Postdoctoral Fellow position in Human Genetics, with research focused on large family-based data sets, multiomics data analysis, and the incorporation of machine learning into multiomics workflows.

The role includes developing, testing, and analyzing research projects; helping build a platform for integrating multiomics data; writing research summaries; assisting with progress reports; publishing peer-reviewed papers; and presenting findings at symposiums and conferences. The post also notes support for PhD students on dissertation projects as needed.

Required background: a doctoral degree in Biology, Statistics, Computing, Human Genetics, or a related field from an accredited university. Applicants should be comfortable using Python, R, and SOLAR for research/statistical work.

Location: Brownsville, Texas, with distributed-campus expectations across the Rio Grande Valley and an in-person presence required unless a hybrid/remote exception is approved.

Funding: full-time, grant-funded trainee position; salary is commensurate with experience. Grant support is listed through 2028-07-31.

Application: submit through the UTRGV careers portal. The posting warns applicants to remove confidential information such as date of birth, gender, and ethnicity/race before uploading documents. Incomplete applications will not be considered.

Funding details

Full-time postdoctoral trainee position. Salary is commensurate with experience. The position is grant funded, with grant expiration on 2028-07-31.

What's required

Doctoral degree in Biology, Statistics, Computing, Human Genetics, or a related field from an accredited university. Applicants should have proficiency with personal computers and research statistical applications, including Python, R, and SOLAR. The role requires the ability to work in an office/research environment, some travel and weekend work, and maintain an in-person presence at assigned UTRGV locations; incomplete applications will not be considered.

How to apply

Apply through the university careers portal using the posting link. Review the application carefully and omit confidential information such as date of birth, gender, and ethnicity/race before submission. Contact Human Resources if you have questions.

More information can be found here

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