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Texas A&M University Health Sciences Center

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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. Proposed salary is commensurate. Benefits include medical, dental, vision, life and AD&D, disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development support, and tuition assistance.

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Country

United States

University

Texas A&M University Health Sciences Center

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Keywords

Computer Science
Information Technology
Biology
Statistical Analysis
Computational Biology
Software Development
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, in Bryan, Texas, United States.

This is a full-time postdoctoral opening focused on hypothesis-driven computational research using large-scale sequencing data. The role involves analyzing and visualizing high-throughput datasets, developing quantitative models, supporting publication and grant writing, maintaining software and code repositories, and supervising students and research staff.

Research areas and keywords: computational biology, bioinformatics, genomics, transcriptomics, epigenomics, RNA-seq, ATAC-seq, ChIP-seq, statistics, machine learning, data analysis, software development, high-performance computing, UNIX/Linux, Python, R, Perl, Matlab, version control, data pipelines.

Eligibility highlights: an appropriate PhD is required. Preferred preparation includes a PhD in computational biology, bioinformatics, or computer science; training in statistics; programming experience in UNIX/Linux; and experience with genomic/epigenomic data analysis, HPC, data management, and software best practices.

Funding: the position is grant funded, and future employment may depend on future funding. Salary is commensurate. Texas A&M also lists employee benefits such as insurance, retirement, paid leave, professional development, and tuition assistance.

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

Funding details

Grant funded; future employment may be contingent upon future funding. Proposed salary is commensurate. Benefits include medical, dental, vision, life and AD&D, disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development support, and tuition assistance.

What's required

Appropriate PhD 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. Preferred experience includes analysis of genomic, transcriptomic, and epigenomic data such as RNA-seq, ATAC-seq, and ChIP-seq; working with high-performance computing environments; data management and pipeline development; proficiency in R, Python, and Matlab; familiarity with software development best practices including unit testing and version control; inferential statistics and machine learning; and the ability to work within a team of wet and dry lab researchers.

How to apply

Apply through the Texas A&M Workday job portal. Complete all application data or attach a resume, and you may also use a LinkedIn profile to pre-populate the application. Submit before the position is filled.

More information can be found here

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