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Texas A&M University System

Texas public university system

Postdoctoral Research Associate - Computational Biology

Full-TimePosted on 10/19/2026Deadline 11/9/26
No salary listed
Senior
PhD
Bryan, TX, USA
In Person
Academic & Institutional ResearchLife Sciences Research

About the job

Requirements
  • An appropriate PhD is required.
  • Training in statistics and programming experience in a UNIX/Linux environment using languages such as Python, R, and/or Perl are required.
  • Ability to multitask and work cooperatively with others.
Responsibilities
  • Conduct hypothesis-driven computational research using appropriate controls.
  • Analyze large-scale sequencing data with computational methods and formulate quantitative models.
  • Interpret data and explain results in research discussions.
  • Implement, apply, and evaluate tools to process, integrate, and visualize high-throughput sequencing datasets.
  • Explore novel approaches and ideas by collaborating with other laboratories at Texas A&M University and external collaborators.
  • Support laboratory members and collaborators in designing experiments and analyzing datasets.
  • Present work at group meetings and write it up for publication.
  • Communicate scientific results at laboratory meetings and scientific conferences.
  • Maintain and update software on the Texas A&M University computing cluster.
  • Contribute to the codebase and maintain personal code in a GitHub or equivalent repository with version control.
  • Supervise undergraduate and/or graduate students and other laboratory, technical, or field staff involved in research.
  • Perform routine laboratory duties as required.
Desired Qualifications
  • Preferred PhD in Computational Biology, Bioinformatics, or Computer Science.
  • Experience analyzing genomic, transcriptomic, or epigenomic data, including RNA-seq, ATAC-seq, and ChIP-seq.
  • Experience working in a high-performance computing environment.
  • Experience in data management and developing data-processing pipelines.
  • Proficiency in programming languages such as R, Python, or MATLAB.
  • Familiarity with software development best practices, including unit testing and version control.
  • Familiarity with inferential statistics and machine learning.
  • Expertise in computational biology and ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data.
  • Ability to work within a team of wet-lab and dry-lab researchers.

About the company

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Texas A&M University System

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Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.

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