Job Title: Postdoctoral Fellow II

Overview:

The Gompert Lab at Utah State University (Department of Biology) is
recruiting a postdoctoral research scientist in evolutionary genomics
to start in fall 2025. The postdoc will work on a NIH-funded project
exploring the contribution of structural genetic variation (chromosomal
rearrangements) to trait variation and adaptation in three insect
systems: Lycaeides butterflies, Timema stick insects and Callosobruchus
seed beetles.

Responsibilities:

The postdoctoral researcher will collaborate with Dr. Gompert on
evolutionary genomic data analyses, including comparative genome
alignments and pangenome graph construction. The goal is to identify
structural variants from genome assemblies and conduct downstream
analyses that integrate structural variant discovery with population and
quantitative genomic data. This research will focus on studying trait
variation, adaptation, and hybridization. Depending on the postdoc's
skills, interests, and expertise, they may focus exclusively on data
analysis or also take on a central role in lab or fieldwork. Applicants
interested in working remotely are eligible to apply.

Key responsibilities include: (i) leading data analysis and
interpretation, (ii) managing and contributing to individual
research projects within the scope of the Gompert lab's program,
(iii) collaborating with other research team members, (iv) mentoring
undergraduate and graduate students in the lab, (v) writing scientific
papers, and (vi) presenting research findings at conferences and
participating in regular lab meetings.

Qualifications:
Minimum Qualifications:

    - Ph.D. in biology, computational biology, data science, or a
      related discipline
    - Demonstrated experience working with genomic or population
      genomic data
    - Strong understanding of the scientific process, including
      experimental design and research integrity
    - Excellent written and verbal communication skills
    - A record of peer-reviewed publications
    - Ability to work both independently and collaboratively in a
      research environment
    - Genuine enthusiasm for scientific discovery and contributing to
      the advancement of knowledge

Preferred Qualifications:
A subset of the following skills and experiences is desirable, but
not required:

    - Strong background in evolutionary biology or computational biology
    - Proficiency or familiarity with programming or scripting in
      languages such as R, Python, Perl, C, or similar
    - Experience analyzing and managing data on a high-performance
      computing cluster, including use of a Unix command-line
      environment
    - Experience working with structural genetic variant data or
      pangenomes
    - Laboratory skills in molecular biology, particularly techniques
      relevant to modern genome sequencing
    - Experience or interest in working with insects in either
      laboratory or field settings

Link to apply: https://careers-usu.icims.com/jobs/9276/job
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zach.gompert@usu.edu

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