Publisher
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Texas A&M University Health Sciences Center

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

Degree Level

Postdoc

Field of study

Computer Science

Funding

Grant funded; future employment may be contingent upon future funding. Full-time postdoctoral research associate position with standard employee benefits; no stipend amount stated.

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Country

United States

University

Texas A&M University Health Sciences Center

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Keywords

Computer Science
Biomedical Engineering
Biology
Computational Biology
Software Development
Rna-seq
Epigenetic
Genomic
Statistics
Bioinformatic
Transcriptomic
ML

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About this position

Postdoctoral Research Associate in Computational Biology at Texas A&M University Health Science Center (Department of Cell Biology and Genetics), located in Bryan, Texas, United States.

This is a full-time postdoctoral opening focused on computational biology, bioinformatics, genomics, transcriptomics, epigenomics, and data science. The role involves hypothesis-driven computational research, analysis of large-scale sequencing data, quantitative modeling, visualization, software maintenance, and collaboration with other labs and collaborators at Texas A&M.

Core responsibilities include analyzing high-throughput sequencing datasets, interpreting results for publications and presentations, supporting lab members with experiment design and dataset analysis, maintaining software on the TAMU cluster, contributing code with version control, and supervising undergraduate and/or graduate students.

Eligibility highlights: an appropriate PhD is required. Preferred preparation includes a PhD in computational biology, bioinformatics, or computer science; training in statistics; programming in UNIX/Linux; experience with Python, R, and/or Perl; analysis of RNA-seq, ATAC-seq, and ChIP-seq data; high-performance computing; data management; pipeline development; machine learning; and software development best practices.

Funding: the position is grant funded, and future employment may depend on future funding. No stipend amount is listed.

How to apply: submit an application through the Texas A&M Workday posting. Applicants must complete all application data or attach a resume; a LinkedIn profile can be used to pre-populate the application. No deadline is stated in the post.

Funding details

Grant funded; future employment may be contingent upon future funding. Full-time postdoctoral research associate position with standard employee benefits; no stipend amount stated.

What's required

Appropriate PhD required. Preferred background includes a PhD in computational biology, bioinformatics, or computer science. Applicants should have training in statistics, programming experience in UNIX/Linux, and proficiency in Python, R, and/or Perl. Experience with genomic, transcriptomic, and epigenomic data analysis (including RNA-seq, ATAC-seq, and ChIP-seq), high-performance computing, data management, pipeline development, machine learning, and software development best practices such as unit testing and version control is preferred. Ability to work in a team of wet and dry lab researchers and multitask cooperatively is important.

How to apply

Apply through the Texas A&M Workday job posting. Complete all application data or attach a resume; a LinkedIn profile may be used to pre-populate the application. Submit before the position is filled.

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