Postdoctoral Research Associate-Computational Biology

Texas A&M University System • Bryan, TX

22h • Onsite

About The Position

The Postdoctoral Research Associate conducts hypothesis-driven computational research under general supervision. The role analyzes large-scale sequencing data, develops quantitative models, interprets and communicates results, supports scientific publications and grant writing, collaborates with researchers, maintains software on the Texas A&M cluster, and supervises students and other research staff. The position is grant funded, and continued employment may depend on future funding. Work beyond normal office hours and/or on weekends may be required.

Requirements

• Appropriate PhD.
• Training in statistics and programming experience in a UNIX/Linux environment using languages such as Python, R, and/or Perl.
• Ability to multitask and work cooperatively with others.

Nice To Haves

• 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, and Matlab.
• Familiarity with software development best practices, such as 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.

Responsibilities

• Conduct hypothesis-driven computational research using appropriate controls.
• Use computational methods to analyze large-scale sequencing data and formulate quantitative models.
• Interpret research data and explain results in research discussions.
• Implement, apply, and evaluate tools to process, integrate, and visualize high-throughput sequencing datasets.
• Collaborate with other Texas A&M labs and external collaborators to develop novel approaches and ideas.
• Support lab members and collaborators in designing experiments and analyzing datasets.
• Present work at group meetings and scientific conferences, and write up work for publication.
• Maintain and update software on the Texas A&M cluster.
• Contribute to the group code base and maintain personal code in a GitHub or equivalent version-controlled repository.
• Supervise undergraduate and/or graduate students and other laboratory, technical, or field staff involved in research.
• Conduct lab experiments, aid in grant writing, and perform routine lab duties as required.

Benefits

• Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance; Texas A&M contributes to employee health and basic life premiums.
• 12–15 days of annual paid holidays.
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month.
• Automatic enrollment in the Teacher Retirement System of Texas.
• Free exercise programs and release time for health and wellness.
• Free LinkedIn Learning training, webinars, and limited financial support for conferences, workshops, and other professional development.
• Educational release time and tuition assistance for completing a degree while employed by Texas A&M.
• Access to the Living Well employee program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree