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Bioinformatics Research Engineer in Oat Genomics

Bioinformatics Research Engineer in Oat Genomics

Lund University, Sweden


ScanOats is a newly established industrial research centre in collaboration between the academy and the industry. We conduct basic and applied research on oats and oat-based products. Oat is an important crop both for the Swedish agriculture and for the food chain. ScanOats is unique in the sense that we cover the entire chain from basic research, genome sequencing, cultivar development, field testing, mild processing and fractionation, and clinical health trials.

Work duties
We are seeking a motivated and experienced bioinformatician to join the ScanOats Industrial Research Center to perform work in the field of oat genomics. We have recently sequenced and assembled the hexaploid oat genome and now the in-depth analysis can begin. An enthusiastic outlook to scientifically tackling this 12.5Gbp hexaploid genome is absolutely necessary. Your role will involve developing computational approaches that integrate next generation sequence data to address the goals of ScanOats. Our areas of research on oat seed quality include: 1) lipids and lipases, 2) total fibers, 3) antioxidants, 4) proteins, and 5) Fusarium resistance.  You will interact with researchers from different backgrounds including biochemistry, plant breeding, biotechnology and bioinformatics, and also with researchers within the other work packages of ScanOats as well as the ScanOats industrial partners Lantmännen, Oatly and Swedish Oat Fiber.

Detailed description of the work duties, such as:

  • Apply state-of-the art tools, skills, and methods in genome sciences to achieve the goals of ScanOats
  • Develop novel algorithms and strategies to scale analysis and leverage cloud-computing resources.
  • Understand the core scientific questions and design analyses to best address these questions.
  • Participate in automated/manual annotation of the oat genome, synteny analysis, transcriptomics, identification of markers for mutant traits.
  • Collaborate with academic/industrial researchers at national and international level.
  • Assist in supervision of graduate students and doctoral students.
  • Assist in the integration and interpretation of results from ‘omics’ datasets.
  • System administration and big data management.
  • Participate in the development of a genome browser.
  • Apply for research grants when required
  • Duty abroad to work with international researchers for weeks to months at a time could be possible.


More information to be found here

Lund University, SE

Printed from on 18/06/18 11:55:52 PM

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