Lead Genomics Research Associate - Dune Grasses

Diversity Dashboard

Sheffield

On-site

GBP 39,000 - 42,000

Full time

9 days ago
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Benefits offered by this job

Flexible working opportunities
Hybrid working for some roles
Generous pension scheme

Job summary

University of Sheffield is offering a full-time postdoctoral-style role focused on coastal dune grasses. You will lead the genetic component, perform molecular lab work, and analyse genomic and trait data to identify key dune-building traits.

The role combines wet-lab and bioinformatics with opportunities to publish and present findings. Based at the School of Biosciences and supervised by Dr Luke Dunning, the position emphasises collaboration, data-driven discovery, and academic publication,

Qualifications

  • PhD (or near completion) in a relevant area.
  • Wet-lab experience preparing samples for NGS.
  • Experience researching dune grasses and combining genomic with trait data.
  • Proficiency in command line computing.
  • Ability to work in a team and communicate with collaborators.
  • Flexible with workload priorities and able to supervise staff.

Responsibilities

  • Perform basic molecular lab work (e.g., DNA extraction).
  • Generate and analyse ddRAD-seq data.
  • Develop bioinformatic pipelines and analyses.
  • Take a lead role in data analysis and preparation for publication.
  • Prepare papers and presentations for national and international conferences.
  • Attend and contribute to weekly lab meetings and meetings with collaborators.
  • Contribute to supervision of research students.
  • Embed the University sustainability strategy in daily activities.
  • Carry out other duties commensurate with grade and remit.

Skills

Wet-lab experience
Genomic analysis
Command line
Data integration
Team collaboration

Education

PhD in a relevant area

Job description

University of Sheffield is offering a full-time postdoctoral-style role focused on coastal dune grasses. You will lead the genetic component, perform molecular lab work, and analyse genomic and trait data to identify key dune-building traits.

The role combines wet-lab and bioinformatics with opportunities to publish and present findings. Based at the School of Biosciences and supervised by Dr Luke Dunning, the position emphasises collaboration, data-driven discovery, and academic publication,

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