Postdoc: Computational Genomics & Data Science

TAMU Press; Bryan (TX); On-site; USD 55,000 - 75,000; Full time

Job summary

Texas A&M University Health Science Center in Bryan, Texas, seeks a Postdoctoral Research Associate in Computational Biology to conduct hypothesis-driven analyses of large sequencing datasets and assist in grant writing and publications.

The role involves developing models, presenting results, and managing software on the TAMU cluster. Collaboration across labs and supervision of students are expected, with a PhD required and strong programming skills in Python/R.

Qualifications

• PhD required in a relevant field (Computational Biology, Bioinformatics, or related).
• Experience analyzing genomics, transcriptomics, and epigenomics data (RNA-seq, ATAC-seq, ChIP-seq).
• Proficiency in Python, R, and Matlab; UNIX/Linux programming and HPC experience.

Responsibilities

• Conduct hypothesis-driven computational analyses of large sequencing datasets.
• Develop and apply quantitative models; communicate results in publications and talks.
• Maintain and update software on the TAMU cluster; use version control (GitHub).
• Supervise undergraduate/graduate students and collaborate with wet & dry lab researchers.

Skills

Python

R

UNIX/Linux

Data analysis

Machine learning

Education

PhD

Tools

GitHub

Job description

Texas A&M University Health Science Center in Bryan, Texas, seeks a Postdoctoral Research Associate in Computational Biology to conduct hypothesis-driven analyses of large sequencing datasets and assist in grant writing and publications.

The role involves developing models, presenting results, and managing software on the TAMU cluster. Collaboration across labs and supervision of students are expected, with a PhD required and strong programming skills in Python/R.