Postdoctoral Research Associate-Computational Biology

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.

  <