Postdoctoral Research Associate-Computational Biology

About the role

Texas A&M University Health Science Center, Department of Cell Biology and Genetics, seeks a Postdoctoral Research Associate in Computational Biology. 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. The position is located in Bryan, Texas.

Under general supervision, the Postdoctoral Research Associate is responsible for conducting hypothesis-driven computational research, analyzing large-scale sequencing data, formulating quantitative models, communicating results through publications and presentations, aiding in grant writing, supervising undergraduate students, and performing routine lab duties as required.

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 data and explains 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 projects by collaborating with other labs at TAMU and external collaborators
• Provides support to lab members and collaborators in designing experiments and analyzing datasets
• Presents work at group meetings and writes up 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 projects by collaborating with other labs at TAMU and external collaborators
• Provides support to lab members and collaborators in designing experiments and analyzing datasets
• Maintains and updates software on TAMU cluster for the group
• Contributes to the code base and maintains personal 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 in Computational Biology, Bioinformatics, Computer Science, or related field
• 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 genomic/transcriptomic/epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq
• Experience working with high-performance computing environments
• 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

Skills

• Ability to multitask and work cooperatively with others

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 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: 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 program built by employees, for employees
• Amenities associated with a major university: sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum
• Reasonable cost-of-living and no long commutes

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.