Research Scientist

4 days ago


University Park, United States Penn State University Full time
Job Summary

We are seeking a highly motivated and experienced Postdoctoral Scholar to join our research team at the Penn State University. The successful candidate will contribute to an NSF Plant Genome funded research program aimed at studying the role of hybridization to climate adaptation and the evolution of species barriers using Populus as a model system.

Key Responsibilities
  • Analyze full-genome resequencing data from Poplar clones of mixed ancestry (P. trichocarpa x P. balsamifera) alongside phenotypic data (phenology and other), and climatic data from Poplar planted in replicated common gardens established in arboreta across the United States as part of the PopUpPoplar Network.
  • Identify regions of the genome that contribute disproportionately to phenotypic differences across varying ancestral backgrounds and environments.
  • Work closely with the PI, collaborators, and lab personnel to lead research in the lab and field on the role of hybridization to climate adaptation.
  • Develop and pursue novel, exciting research questions and integrate across biological disciplines.
Requirements
  • Ph.D. in forestry, evolutionary biology, population genomics, speciation, quantitative genetics, bioinformatics, or a related field.
  • Familiarity with analyzing whole-genome resequencing data and expertise using and trouble-shooting bioinformatic tools, as well as experience using Unix or Linux environments.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Demonstrated expertise in evolutionary and ecological genomics.
  • Expertise in analysis of genomic or transcriptomic datasets.
  • Programming for bioinformatics, biostatistics, and simulations.
  • Quantitative genetics, GWAS, or gene expression studies.
What We Offer
  • A term position funded for one year from date of hire with an excellent possibility of re-funding for multiple additional years.
  • A highly interdisciplinary research environment with opportunities to combine phenotypic data across a broad range of environments and genome resequencing.
  • A collaborative and dynamic research team with a strong focus on mentorship and professional development.


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