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Human Capital Services

Fellow (Post Doc)

Apply now Department: 3670010110 Plant Pathology
Job no: 509239
Work type: Post Doc (Term)
Location: Manhattan, Kansas
Categories: Agriculture, Research / Scientific / Grants, Natural / Quantitative Sciences, Plant Sciences
Pay Grade: 001

About This Role:

The Akhunov Lab in the Department of Plant Pathology is seeking a highly motivated candidate with an interest in computational biology and integrative genomics to join a diverse team of researchers studying broad aspects of wheat genetics, genomics, and biology. Our team uses a rich arsenal of modern genomics and phenotyping technologies to generate high-dimensional datasets for wheat diversity panels and mapping populations using population-scale whole-genome re-sequencing, and gene expression, metabolomic, and epigenetic profiling, as well as field and greenhouse phenotyping for a number of traits of agronomic significance. These resources are used to 1) develop an empirical and theoretical framework for investigating the system-level effects of genomic variation on plant-level phenotypes, 2) identify candidate variants, genes, and pathways predictive of adaption to biotic and abiotic stress factors and variation in wheat productivity traits, 3) prioritize genomic variation for incorporation into the wheat breeding pipelines, and 4) select targets for genome editing.

A successful candidate should have Ph.D. level training in the fields of bioinformatics, quantitative genetics, or genetics, and will 1) analyze large-scale datasets including whole genome sequences, RNA-seq profiling, genome-wide sequence variation, metabolomics, epigenetic variation and plant-level phenotyping datasets to identify variants, genes and pathways predictive of variation in major agronomic traits, 2) collaborate with the research team members on projects aimed at prioritizing genomic variants for breeding and genome engineering, 3) lead the development of genomic databases, and their integration with public genomic resources to facilitate data mining, 4) analyze and prepare data for publication; write manuscript drafts; collaborate with the lab PI on the preparation on the manuscripts for publication in the peer-reviewed journals, 5) develop and maintain data storage, organization and processing capabilities of the on-going research projects, and 6) train graduate and undergraduate students in the analytical techniques relevant to research work performed.

The candidate will have access to high-performance computing resources of the KSU Beocat cluster (http://www.beocat.cis.ksu.edu/beocat), modern genomic instrumentation through the KSU Integrated Genomics Facility (http://www.ksre.ksu.edu/igenomics) and have a chance to interact with vibrant KSU research programs in plant genetics and genomics. For details about the position please contact Eduard Akhunov (eakhunov@ksu.edu).

We Support Diversity and Inclusion:

Kansas State University embraces diversity and inclusion.  The university actively seeks individuals who foster a collegial environment and cooperative interactions with coworkers, students, and others.  The University is dedicated to promoting the Principles of Community.

What You’ll Need to Succeed:

Minimum Requirements:

  • Ph.D. in the fields of bioinformatics, quantitative genetics, or genetics.

Preferred Qualifications:

  • Three or more years of experience in the application of bioinformatical and statistical tools for analyzing genomic and phenotypic datasets.
  • Experience with building databases for storing and retrieval of genomic and phenotypic data.
  • The successful candidate will be familiar with at least one major programming language (Perl or Python, Java), and statistical computing environment (R or SAS), and have an excellent knowledge of experimental design and statistical techniques applied in analyzing big data.
  • Understanding of basic principles of genomic technologies.
  • Familiarity with machine learning techniques.
  • Excellent organizational, written/verbal communication skills
  • Ability to work in a multicultural environment.

How to Apply:

Please submit the following documents:

  1. Curriculum Vitae with a list of publications
  2. Statement of research interest
  3. List of at least three references

Screening of Applications Begins:

Immediately. For best consideration, apply by June 15, 2020

Anticipated Hiring Salary Range:


Equal Employment Opportunity:

Kansas State University is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees.

Background Screening Statement:

In connection with your application for employment, Kansas State University will procure a Background Screen on you as part of the process of considering your candidacy as an employee.

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