Postdoctoral Research Associate-Computational Biology

Texas A&M • Bryan, TX

1d • Onsite

About The Position

The Postdoctoral Research Associate conducts computational biology research under general supervision. The role involves conducting lab experiments, analyzing and communicating data through primary research articles, assisting with grant writing, supervising undergraduate students, and performing routine laboratory duties. The position is grant funded, so continued employment may depend on future funding. Work beyond normal office hours and/or on weekends may be required.

The associate performs hypothesis-driven computational research, analyzes large-scale sequencing data, develops quantitative models, and interprets findings. They implement, apply, and evaluate tools to process, integrate, and visualize high-throughput sequencing datasets. The role also includes collaborating with other laboratories and research partners, supporting experiment design and dataset analysis, presenting results at lab meetings and scientific conferences, and preparing work for publication.

The associate maintains and updates software on the Texas A&M cluster, contributes to the group's code base, and maintains personal code in a version-controlled repository such as GitHub. They supervise undergraduate and/or graduate students and other research staff as applicable.

Requirements

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

Nice To Haves

• PhD in Computational Biology, Bioinformatics, or Computer Science.
• Proficiency in programming languages such as R, Python, or 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 for 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.
• Analyze large-scale sequencing data using 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.
• Collaborate with other Texas A&M labs and external collaborators to explore approaches and ideas for research projects.
• Support lab members and collaborators in designing experiments and analyzing datasets.
• Present work at group meetings, lab meetings, and scientific conferences, and prepare work for publication.
• Maintain and update software on the Texas A&M cluster.
• Contribute to the group's code base and maintain personal code in a version-controlled repository.
• Supervise undergraduate and/or graduate students and other laboratory, technical, or field staff involved in research.
• Conduct lab experiments, assist with 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.
• Access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences and workshops.
• Educational release time and tuition assistance for completing a degree while employed at Texas A&M.
• Living Well employee wellness program.

What This Job Offers

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