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Postdoctoral Research Associate-Computational Biology

Job in Bryan, Brazos County, Texas, 77801, USA
Listing for: Texas A&M University
Full Time position
Listed on 2026-06-02
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Biomedical Science
Job Description & How to Apply Below
Job Title

Postdoctoral Research Associate-Computational Biology

Agency

Texas A&M University Health Science Center

Department

Cell Biology and Genetics

Proposed Minimum Salary

Commensurate

Job Location

Bryan, Texas

Job Type

Staff

Job Description

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are:
Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Who we are

As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research and team-based health care delivery.

What we want

The Postdoctoral Research Associate is responsible for conducting lab experiments, analyzing and communicating data in the form of primary research articles, aiding in grant writing, supervising undergraduate students, and performing routine lab duties as required.

What you need to know

Salary:
Will be commensurate based on the selected hire's education and experience.

Location:

Bryan, TX

Schedule:

Full-Time;
This position may require work beyond normal office hours and/or work on weekends

Please note:

This position is grant funded; future employment may be contingent upon future funding.

Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV/Resume.

Required educations and experience

* Appropriate PhD in a related field.

Preferred qualifications

* PhD, Computational Biology, Bioinformatics, Computer Science

* Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required.

* Experience in analysis of genomis /trancriptomic /epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq.

* Experience in working with high-performance computing environment.

* Experience in data management and developing data-processing pipelines.

* Proficiency in programming languages such as R, Python, Matlab.

* Familiarity with software development best practices (e.g., unit testing, 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.

* Capable of working within a team of wet and dry lab researchers.

Responsibilities

Data Analysis

* Performs hypothesis-driven computational research with a clear understanding and use of controls.

* Uses computational methods to analyze large-scale sequencing data and formulate quantitative models.

* Interprets the data and explain the results in research discussion.

* Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets

Data Presentation

* Explores and brings novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.

* Provides support to lab members and collaborators in designing experiments and analyzing datasets.

* Presents their work at group meetings and write up their work for publication.

* Communicates scientific results at lab meetings and scientific conferences

Software Development and Data Management

* Explores and brings novel approaches and ideas to their project by collaborating with other labs at TAMU and other collaborators.

* Provides support to lab members and collaborators in designing experiments and analyzing datasets.

* Maintains, updates software on TAMU cluster for the group.

* Contributes to our code base and to keep your own code in a github (or equivalent) repository with version control.

Lab Management

* Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research.

Why Texas A&M University?

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  Amenities associated…
Position Requirements
10+ Years work experience
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