Agrilife Research

Agrilife Research

Postdoctoral Research Associate

College Station, TX · Contract

Sponsorship not specified$12k-$15kDetected 8 days ago
PythonLinuxComputer VisionA/B TestingBioinformaticsPCRqPCRMolecular BiologyResearchCollaborationMentoringAgronomy

About the role

  • With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
  • The position works alongside a Ph.D. student across the whole project.
  • Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application.

Responsibilities

  • Design and execute field and controlled-environment pathology experiments, including inoculum-density gradient studies
  • Develop reproducible bioinformatic pipelines on Texas A&M HPRC resources
  • Maintain accurate lab records in both digital and hardcopy form, and ensure up-to-date lab safety documentation.
  • Lead and co-author manuscripts in scientific journals
  • assistance may also be sought in drafting extension documents.
  • Collaborate with USDA-ARS scientists.
  • Design and execute field and controlled-environment pathology experiments, including inoculum-density gradient studies; direct undergraduate research interns during field-sampling campaigns.
  • Develop reproducible bioinformatic pipelines on Texas A&M HPRC resources; prepare data, figures, and first- and co-authored manuscripts.
  • Lead and co-author manuscripts in scientific journals; assistance may also be sought in drafting extension documents.
  • design and run field and greenhouse pathogen experiments, drive the isolate-to-assembly-to-diagnostic-assay pipeline, and lead population-ecology and disease publications built on that genomic work.

Requirements

  • Knowledge, Skills, and Abilities:
  • ability to grow microorganisms in pure culture and in interaction studies, including the soil-borne pathogens central to this project.
  • Ability to collect phenotypic data from plants (healthy, infected, and infested) in field and greenhouse settings.
  • Knowledge of laboratory maintenance and equipment.
  • Ability to multi-task and to work cooperatively with others across internal and external collaborations.
  • Experience in handling ONT data is required, and hands-on experience in running the Oxford Nanopore sequencer is desirable.
  • Experience in high-throughput culturomics is desirable.
  • Experience in, or interest in, laboratory automation will be an advantage.

Nice to have

  • Demonstrated field and/or greenhouse experimental experience in plant pathology or a closely related discipline.
  • Hands-on molecular biology (DNA extraction, library preparation, PCR/qPCR).
  • Experience handling Oxford Nanopore (ONT) sequence data.
  • A record of scientific productivity appropriate to career stage and strong written and oral communication.
  • As a field-demanding position, a current driver's license is required.
  • Prior formal experience is not required, but candidates are expected to use these tools in their work and to develop fluency with them on the job, with a strong emphasis on reproducibility and validation.
  • Experience with soil-borne pathogens of cotton or other row crops (fungal and nematodes).
  • Population genomics, microbiome analysis, or diagnostic assay (LAMP/qPCR/ddPCR) development.

Skills

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

Compensation

  • 12-15 days of annual paid holidays

Benefits

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 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
  • Employee Wellness Initiative for Texas A&M AgriLife
  • Apply machine-learning and AI-assisted tools in genome analysis, population and disease-ecology work, and pipeline development, with attention to reproducibility and validation of results.

Company info

  • Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

This listing is sourced directly from Agrilife Research's careers page and normalized into a canonical job model.