Company: Kansas State University
Posted on: November 14, 2023
Department: 3670010110 Plant Pathology
Job no: 512816
Employment type: Staff Full Time (Unclassified - Term)
Location: Manhattan, Kansas
Worksite: On-site requirement
Categories: Agriculture, Research / Scientific / Grants, Natural /
Quantitative Sciences, Plant Sciences
Pay Grade: 08B
About This Role:
The Wheat Genetic Resource Center (WGRC) in the department of Plant
Pathology at Kansas State University is seeking a Computational
Biologist or Bioinformatics Scientist. The successful candidate
will join a vibrant team of researchers investigating diverse
aspects of wheat genetics and genomics focusing on the development
of resources, tools, and strategies to identify and deploy
beneficial wild relative diversity in breeding. The WGRC team uses
a rich collection of wild relative germplasm, and a modern arsenal
of genetics and genomics tools and resources combined with
high-throughput phenotyping technologies to prioritize close and
distant relatives of wheat for introgression into adapted varieties
and assess their value for improving agronomic traits. This
position's focus will be on the computational analyses of
large-scale phenomic and genomic data to investigate connections
between wild-relative genomic variation and plant-level phenotypes.
The successful candidate will identify valuable alleles and genes
predictive of adaption to biotic and abiotic stress factors and
variation in wheat productivity and end-use quality traits and will
help prioritize genomic variation for incorporation into the wheat
pre-breeding and breeding pipelines.
A successful candidate should have graduate level training in the
fields of bioinformatics, quantitative genetics, or genetics, and
- Analyze large-scale datasets including whole genome sequences,
RNA-seq profiling, genome-wide sequence variation, metabolomics and
- Collaborate with research team members on projects aimed at
prioritizing genomic variants for breeding and genome
- Lead the development of genomic databases, and their
integration with public genomic resources to facilitate data
- Train graduate and undergraduate students in analytical
techniques relevant to research work performed.
- Develop and maintain data storage, organization, and processing
capabilities of the on-going research projects.
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 position please contact Eduard Akhunov
Why Join Us:
Kansas State University offers a comprehensive benefits package
that includes health insurance, life insurance, retirement plans,
paid time off - vacation, sick, and holidays. To see what benefits
are available, please visit:
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
What You'll Need to Succeed:
- Masters degree in bioinformatics, computer/data science,
genetics or other related fields.
- Two years of experience in the application of bioinformatical
and statistical tools for analyzing genomic and phenotypic datasets
in plant genetics programs. As well as experience with building
relational databases for storing and retrieval of genomic and
- Ph.D in the fields of bioinformatics, quantitative genetics, or
- Two or more years of experience in the application of
bioinformatical and statistical tools for analyzing genomic and
phenotypic datasets in plant genetics programs. As well as
experience with building relational databases for storing and
retrieval of genomic and phenotypic data.
- Understanding of basic principles of major genomic technologies
(next generation sequencing, RNA-seq, genomic variant calling
- Familiarity with machine learning techniques.
- Familiarity with at least one major programming language (Perl
or Python, Java), and statistical computing environment (R or
- Excellent knowledge of experimental design and statistical
techniques applied in analyzing big data.
- Excellent organizational and written/verbal communication
- Ability to work in multicultural environment.
How to Apply:
Please submit the following documents:
- Curriculum Vitae with a list of publications
- Statement of research interest
- List of at least three professional references with contact
Screening of Applications Begins:
Immediately. For best consideration, apply by 5/15/2023.
Anticipated Hiring Salary Range:
Equal Employment Opportunity:
Kansas State University is an Equal Opportunity Employer. All
applicants will receive consideration for employment without regard
to race, color, religion, sex, sexual orientation, gender, gender
identity, age, national origin, disability or status as a protected
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.
Advertised: Apr 27, 2023 Central Daylight Time
Applications close: Open until filled
Keywords: Kansas State University, Manhattan , Research Associate, Other , Manhattan, Kansas
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