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Texas A&M University

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Postdoctoral Research Associate in Computational Biology Texas A&M University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Grant funded; future employment may be contingent upon future funding. Proposed minimum salary is commensurate.

Deadline

Nov 23, 2026

Country flag

Country

United States

University

Texas A&M University

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Keywords

Computer Science
Biology
Computational Biology
Python Programming
High-throughput Sequencing
Software Development
High Performance Computing
Epigenetic
Genomic
Statistics
Bioinformatic
Transcriptomic
ML

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About this position

Texas A&M University Health Science Center is seeking a Postdoctoral Research Associate in Computational Biology within the Department of Cell Biology and Genetics in Bryan, Texas.

The postdoctoral researcher will work on hypothesis-driven computational research focused on large-scale sequencing data. The role centers on analyzing high-throughput datasets, building quantitative models, and interpreting results for publication and scientific discussion. The position also includes developing and applying tools to process, integrate, and visualize sequencing data, with an emphasis on research that connects computational analysis with experimental work.

The successful candidate will contribute to collaborative projects across Texas A&M, supporting lab members and collaborators in experimental design and dataset analysis. The postdoctoral associate is expected to present findings in group meetings and scientific conferences, write papers, and help with grant-related research activities.

In addition to analysis and dissemination, the role includes maintaining and updating software on the group’s cluster environment, contributing to code development with version control, and participating in lab management. The postdoctoral researcher will also supervise undergraduate and/or graduate students and may assist with other laboratory, technical, or field research staff.

This position is embedded in Texas A&M Health, a large academic health center with multiple colleges, centers, and institutes supporting team-based health research and collaborative science.

Funding details

Grant funded; future employment may be contingent upon future funding. Proposed minimum salary is commensurate.

What's required

Appropriate PhD is required. Preferred background includes a PhD in Computational Biology, Bioinformatics, or Computer Science. Training in statistics and programming experience in a UNIX/Linux environment using Python, R, and/or Perl is required. Experience with genomic, transcriptomic, and epigenomic data analysis including RNA-seq, ATAC-seq, and ChIP-seq is preferred, as are high-performance computing experience, data management and pipeline development skills, proficiency in R, Python, and Matlab, familiarity with software development best practices such as unit testing and version control, and knowledge of inferential statistics and machine learning. The candidate should be able to work in a team of wet and dry lab researchers and multitask cooperatively.

How to apply

Submit the online application through the Texas A&M Workday posting. Either complete all application data or attach a complete resume, and you may use a LinkedIn profile to pre-populate the application. Applications with incomplete data or a missing resume may be rejected.

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