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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.
The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.
Are you interested in learning more? Read about Umeå university as a workplace
Umeå Plant Science Centre, UPSC, is one of Europe's strongest research environments in experimental plant biology. Here, you will have access to state-of-the-art research infrastructure and support from more than two hundred plant researchers. Our research spans from biochemistry and molecular biology to physiology and the ecosystem level (www.upsc.se).
The candidate will be employed by the Department of Plant Physiology at Umeå university, which is a part of Umeå Plant Science Centre, (see www.upsc.se). The position is funded by the Norway spruce and Scots pine genome project. The employment is full-time for two years and the position start date is by agreement, but the position is immediately available. For more information about the research group, see: http://streetlab.upsc.se.
The candidate will work with bioinformatics in a joint research environment of the Department of Plant Physiology, Umeå University, and in collaboration with research groups at SciLifeLab (Science for Life Laboratory), National BioInformatics Service (NBIS) and the Norway spruce and Scots pine genome project team. The work will involve performing comparative genomics analysis including of protein coding genes, non-coding RNAs, pseudogenes and repetitive elements (primarily LTRs) in addition to general bioinformatics analysis and support. There will be an emphasis on syntney and comparative expression analyses using RNA-Seq data, which will include the use of expression networks. Available project data includes Illumina RNA-Seq, PacBio Iso-Seq, Ribo-Seq, Hi-C, ATAC-Seq and DNA methylation profiling.
To be eligible for this position, the applicant must hold a PhD in bioinformatics, molecular biology, plant science or equivalent. The candidate must have experience and knowledge in implementing efficient high-performance cluster pipelines and must be competent in job scheduling systems and database creation and management. The candidate must have experience in complex scripting (in e.g. python, C etc.) and will have proven experience and expertise in the development of reproducible pipelines using code sharing platforms (for example Git, which is used extensively in the project). Very good oral and written communication skills in English, a willingness to learn new skills and to work collaboratively are essential. As the candidate will offer general bioinformatics support within the department, proven experience in a broad range of bioinformatics skills is required.
Beneficial qualifications would include experience in analysis of high throughput sequencing gene expression data, whole genome sequence alignment and synteny analysis, analysis of non-coding RNA and/or pseudogenes including methods for functional annotation, repeat analysis, differential expression analysis, transcript/alternative splicing analysis and co-expression network inference and analysis. Further, skill in R programming and data analysis is highly desirable. Experience in working with plant species, in particular non model species or species with large genomes, is highly desirable. In order to make resources from these genome projects publicly available, experience in full-stack development is highly attractive (e.g. php, node.js, MySQL, HTML5, JavaScript).
All code developed will be shared publicly and must adhere to transparent and reproducible research principles.
The application should contain:
Apply via our recruitment system by the button at the bottom of the page. Application deadline is 5 May, 2022.
The employment is full-time and is limited to 2 years. Access according to agreement.
For more information please contact Dr Nathaniel Street, nathaniel.street@umu.se or +46-(0)70-322 0136.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Umeå |
County | Västerbottens län |
Country | Sweden |
Reference number | AN 2.2.1-644-22 |
Contact |
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Union representative |
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Published | 14.Apr.2022 |
Last application date | 05.May.2022 11:59 PM CEST |