Postdoctoral Research Associate-Computational Biology

Texas A&M University System; Bryan (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

Texas A&M University Health Science Center invites applications for a Postdoctoral Research Associate in Computational Biology at the Bryan, Texas location. The role involves conducting computational analyses, data interpretation, and contributing to publications, with opportunities to supervise students and assist in grant writing.

The candidate should have a PhD in a relevant field and strong experience with RNA-seq, ATAC-seq, ChIP-seq datasets in UNIX/Linux environments, and proficient coding

Qualifications

• PhD required in computational biology-related field.
• Strong programming skills in Python, R and/or Perl.
• Experience analyzing genomics, transcriptomics, and epigenomics data (RNA-seq, ATAC-seq, ChIP-seq).
• Experience with high-performance computing environments.
• Data-management and data-processing pipelines development experience.
• Proficiency in R, Python, MATLAB; familiarity with software development practices.

Responsibilities

• Conduct hypothesis-driven computational research with appropriate controls.
• Analyze large-scale sequencing data and build quantitative models.
• Interpret results and discuss implications for publications.
• Maintain and update software on the TAMU cluster; contribute to codebase and Git repositories.
• Supervise undergraduate/graduate students and collaborate with other labs.
• Present findings at group meetings and conferences; assist in grant-writing as needed.

Skills

Python

R

Perl

Matlab

RNA-seq

ATAC-seq

ChIP-seq

HPC

Data pipelines

Statistics

Machine learning

Version control

Team collaboration

Education

PhD in Computational Biology / Bioinformatics / Computer Science

Tools

UNIX/Linux

Git

Job description

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, under general supervision, 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

Schedule: 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.

Responsibilities

• 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 explains the results in research discussion.
• Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets
• 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 writes up their work for publication.
• Communicates scientific results at lab meetings and scientific conferences
• 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.
• Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research.

Qualifications

• Appropriate PhD
• 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.

Knowledge, Skills, and Abilities

Ability to multitask and work cooperatively with others.

Why Texas A&M University?

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-theart recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.

Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts , and long-term disability insurance with Texas A&M contributing 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

Health and Wellness: Free exercise programs and release time

Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more

Educational release time and tuition assistance for completing a degree while a Texas A&M employee