Postdoctoral Research Associate-Computational Biology

Texas A&M University Health Science Center

Bryan (TX)

On-site

USD 50,000 - 70,000

Full time

2 days ago
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Job summary

Texas A&M University Health Science Center seeks a Postdoctoral Research Associate in Computational Biology to conduct hypothesis-driven computational analyses of sequencing data, develop models, and contribute to publications. You will collaborate across TAMU labs and external partners, mentor students, and help manage data pipelines.

The role requires a PhD in computational biology or related fields, experience with RNA-seq/ATAC-seq/ChIP-seq, and programming in Python/R.

Qualifications

  • Appropriate PhD.
  • PhD in Computational Biology, Bioinformatics, Computer Science.
  • Experience with UNIX/Linux and programming in Python, R, and/or Perl.
  • Experience with analysis of genomic, transcriptomic, epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq.
  • Experience in working with high-performance computing environment.
  • 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 data.

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 explain the results in research discussion.
  • Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets.
  • Explores and collaborates with TAMU labs and external collaborators.
  • Presents work at group meetings and writes up for publication.
  • Maintains and updates software on the TAMU cluster; contributes to codebase and GitHub repository.

Skills

Python
R
UNIX/Linux
Data analysis
Machine learning
Team collaboration

Education

PhD in Computational Biology/Bioinformatics

Tools

Git
Bioconductor

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 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.

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
  • 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.
Benefits
  • 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 leaveand at leasteight hours of paid vacationeach month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Health and Wellness: Free exercise programs and release time
  • Professional Development: All employees have access to freeLinkedIn Learningtraining, webinars, and limited financial support to attend conferences, workshops, and more
  • Educational release time and tuition assistancefor 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.
Security and Background Checks

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.

External Applicants

Applicants not currently employed by a Texas A&M System member may Search Postings and apply for positions within one or more A&M System members by selecting the job posting.

Internal Applicants

This site lists job postings throughout The Texas A&M University System. It is intended for applicants not currently employed by a member of the system. Current employees should apply for jobs on the Internal Career site.

Equal Opportunity/Veterans/Disability Employer

The Texas A&M University System is one of the largest systems of higher education in the nation, with a statewide network of twelve universities, eight state agencies, a comprehensive health science center, Texas A&M-Fort Worth and Texas A&M-RELLIS. The A&M System is committed to providing an educational and work environment that is conducive to the personal and professional development of each employee. Each member institution provides equal opportunity and access to all students, employees and prospective employees. The Texas A&M System is an Equal Opportunity/ Veterans/ Disability Employer.

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