Postdoctoral Research Associate-computational Biology

Texas A&M University Health Science Center

Bryan, Texas, United States
Commensurate; not specified; not specified
On-site
Conduct lab experiments
Analyze and communicate data
Aid in grant writing
Texas A&M University Health Science Center is seeking a Postdoctoral Research Associate in Computational Biology to conduct lab experiments, analyze data, and support research efforts within the Cell Biology and Genetics Department. The position requires a PhD in a related field and offers a collaborative research environment with comprehensive benefits

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 hypothesis-driven computational research, using computational methods to analyze large-scale sequencing data, and implementing, applying, and evaluating tools to process, integrate, and visualize high-throughput sequencing datasets.
  • Texas A&M University offers comprehensive benefits including medical, dental, vision, life insurance, paid holidays, sick leave, vacation, and retirement plan.

Matching Summary

Match Score: 85

Texas A&M University Health Science Center is seeking a Postdoctoral Research Associate in Computational Biology to conduct lab experiments, analyze data, and support research efforts within the Cell Biology and Genetics Department. The position requires a PhD in a related field and offers a collaborative research environment with comprehensive benefits.

Salary

Commensurate; Not specified; Not specified

Skills & Requirements

Must-have

  • Conduct lab experiments
  • Analyze and communicate data
  • Aid in grant writing
  • Supervise undergraduate students
  • Perform routine lab duties
  • Computational research with controls
  • Analyze large-scale sequencing data
  • Formulate quantitative models
  • Interpret data and explain results
  • Process, integrate, and visualize high-throughput sequencing datasets
  • Collaborate with other labs
  • Support lab members in experiment design
  • Present work at group meetings
  • Write up work for publication
  • Communicate scientific results at conferences
  • Maintain and update software on TAMU cluster
  • Contribute to code base
  • Keep code in a repository with version control
  • Supervise students and staff

Nice-to-have

  • Enriching learning and working environment
  • Respecting all perspectives, talents & lived experiences
  • Embracing varying opinions and perspectives
  • Working within a team of wet and dry lab researchers

Key Requirements

  • Appropriate PhD in a related field
  • PhD, Computational Biology, Bioinformatics, Computer Science
  • Training in statistics
  • Programming experience in UNIX/Linux
  • Experience with Python, R, and/or Perl
  • Experience in analysis of genomic/transcriptomic/epigenomic data
  • Experience with high-performance computing
  • Experience in data management
  • Experience developing data-processing pipelines
  • Proficiency in R, Python, Matlab
  • Familiarity with software development best practices
  • Familiarity with inferential statistics and machine learning
  • Expertise in computational biology
  • Ability to devise innovative analytical approaches

Work Rights

Not specified

Tailored Resume

Cover Letter