Postdoctoral Research Associate-Computational Biology

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

**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 CommitmentTexas 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 areAs 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 wantThe 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****:****Data Analysis*** 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 explain the results in research discussion.* Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets **Data Presentation*** 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 write up their work for publication.* Communicates scientific results at lab meetings and scientific conferences **Software Development and Data Management*** 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. **Lab Management*** Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research. **Qualifications:** **Required Education*** Appropriate PhD **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. **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-the-art 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* Living Well, a program at Texas A&M that has been built by employees, for employees**Instructions to Applicants:** Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.Equal Opportunity/Veterans/Disability Employer.