Uppsala University, Department of Medical Biochemistry and Microbiology

The Lindblad-Toh laboratory’s research programs within the collaborative environment of Uppsala University, Faculty of Medicine and SciLifeLab focus on, but are not restricted to, using comparative genomics to unravel the complexities of complex disease, spanning cancer, innate and acquired immunity, and neurobiology. To achieve this goal, we layer population level genome-wide association studies, with an array of omics and traditional genetic, biochemical, and physiological techniques applied to canine models, human cell lines and patient samples.

At the moment we have a number of large datasets to be analyzed including, but not limited to, human resequencing data on multiple immunological diseases. Additionally, canine GWAS data sets exist for both cancers, atopy, behavior and renal dysplasia. We are seeking an innovative, energetic and collaborative individual to work as part of a team to complete a number of these projects.

Job Description: The applicant will work with a pleitora of genetic and genomic techniques including GWAS in dogs and association analysis of case controls cohorts based on resequencing of 1900 human genes. Both single variant tests and burden tests will be used. Identified loci will be further analyzed and annotated using both additional RNA seq and functional genomics dataset and further fine-mapping of all genetic variants in each locus. You will also perform or coordinate functional assays such as EMSA and luciferase assays with colleagues in the lab. You will communicate and meet with the group leaders on a regular basis and with external collaborators as the need arises and regularly present data at laboratory meetings. Some teaching may be included.

Required Qualifications:

  • PhD in genomics, mathematics, bioinformatics, computer science, statistics, genetics, genomics or a related discipline. To be eligible to apply you must have a PhD completed within three years of the application deadline. If you received your PhD earlier but special circumstances exist you are also eligible to apply.
  • Quantitative skills and experience in the computational analysis of genomic or other biological data, as demonstrated through peer-reviewed publications
  • Programming experience with several computing languages including R
  • Ability to analyse and interpret data from large scale sequencing projects including population-based RNA-sequencing, whole genome sequencing, exome sequencing, ChIP-Sequencing, and directed sequencing using site target amplification is advantageous.
  • Prior experience in data mining and integration is strongly desired, including the visualization and interpretation of complex data sets
  • Experience in using a high performance computing cluster and working with human genomics databases (including Ensembl, NCBI, UCSC, HapMap, GEO, ArrayExpress, 1000 genomes) is valued
  • Innovative and creative thinking
  • The ability to work both as part of a team as well as independently, organizing work efficiently and prioritising workload
  • Clearly present at scientific meetings, and to undertake further training as appropriate
  • Willingness to both provide and act on constructive criticism
  • Excellent written and oral English skills

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Pay: Individual salary.

Starting: The position is available as soon as possible for a period of two years.

Type of employment: Temporary position.

Working hours: 100 %

For further information about the position please contact: Professor Kerstin Lindblad-Toh. kerstin.lindblad-toh@imbim.uu.se.

You are welcome to submit your application no later than October 14, 2019, UFV-PA 2019/2754.

Type of employment Temporary position
Contract type Full time
First day of employment As soon as possible
Salary Individual
Number of positions 1
Full-time equivalent 100%
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2019/2754
Union representative
  • Saco-rådet, saco@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Seko Universitetsklubben, seko@uadm.uu.se
Published 13.Sep.2019
Last application date 14.Oct.2019 11:59 PM CEST

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