Postdoctoral Research Associate-computational Biology

Texas A&M University Health Science Center

Bryan, Texas, USA
Commensurate; not specified; medical, prescription...
Computational biology phd
Python, r, and/or perl programming
Genomic/transcriptomic/epigenomic data analysis
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

Job Summary

  • 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.
  • The position requires expertise in computational biology and the ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data, while capable of working within a team of wet and dry lab researchers.
  • Texas A&M University offers a comprehensive benefits package including medical, dental, vision insurance, paid holidays, sick leave, vacation, and retirement plan contributions.

Matching Summary

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.

Salary

Commensurate; Not specified; 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

Skills & Requirements

Must-have

  • Computational Biology PhD
  • Python, R, and/or Perl programming
  • Genomic/transcriptomic/epigenomic data analysis
  • High-performance computing environment
  • Data management and pipeline development
  • Inferential statistics and machine learning

Nice-to-have

  • Team collaboration with wet and dry labs
  • Innovative analytical approaches
  • Familiarity with software development best practices
  • Respect, Excellence, Leadership, Loyalty, Integrity, Selfless Service

Key Requirements

  • PhD in a related field
  • Training in statistics
  • Programming experience in UNIX/Linux
  • Experience in analysis of genomis /trancriptomic /epigenomic data
  • Experience in working with high-performance computing
  • Proficiency in R, Python, Matlab
  • Familiarity with inferential statistics and machine learning

Work Rights

Not specified

Tailored Resume

Cover Letter