Postdoctoral Research Associate-Computational Biology

Overview

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 and lived experiences. Embracing varying opinions and perspectives strengthens our culture and values:
Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Who we are

As one of the fastest-growing academic health centers in the nation, we encompass 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 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

Salary: Will be commensurate based on the selected hire’s education and experience.

Location: Bryan, TX

Schedule: Full-Time;
This position may require work beyond normal office hours and/or work on weekends

Note: This position is grant funded; future employment may be contingent upon future funding.

Required education and experience

• Appropriate PhD in a related field.

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

• Experience in analysis of genomics / transcriptomic / epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq

• Experience in working with a 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

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 explains the results in research discussions.

• 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 writes 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 and updates software on the TAMU cluster for the group.

• Contributes to our code base and keeps your own code in a Git Hub (or equivalent) repository with version control.

Lab Management

• Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research.

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 more—await you. Experience all that a big city has to offer with a reasonable cost of living and no long commutes.

• Health and life premiums contributed by Texas A&M

• Annual paid holidays

• Professional development:
  All employees have access to free training, webinars, and limited financial support to attend conferences, workshops, and more

• Programs and benefits designed for employees