Research Fellow in Computational and Medical Genomics
University of Tartu Institute of Genomics
Estonia

Institute of Genomics

Deadline:

01.10.2020
 
Duties and responsibilities

Research, development and creative activities, at least 70% of working time
  • Research, development and creative (RDC) activities in the field of evolutionary genomics including but not limited to curation and analysis of matching genetic, environmental and biomedical datasets and writing publications.
  • Internationally recognized research in five years at least in the volume equivalent to that of 1.5 doctoral thesis.
  • Development of skills necessary for RDC activities, and professional development.

Teaching and activities related to the administration and development of teaching, up to 20% of working time

  • Teaching, using modern teaching methods and educational technology, primarily supervising students, incl. PhD students.
  • Professional development to enhance teaching and supervising skills.

Participation in the governance and institutional development of the university and social and public activities, up to 10% of working time

  • Popularisation of the specialisation.
Required qualifications

PhD in population, statistical or medical genetics and related subjects or an equivalent qualification.
 
Required experience

Essential skills and experience
  • Nationally/internationally-recognised knowledge and emerging reputation in population or evolutionary genetics/genomics.
  • Experience in working with large omics-datasets (DNA, RNA).
  • Proficiency in programming and command line scripting. Knowledge of at least one programming language (R, Python, C-like)
  • Proven ability to work effectively as part of a multidisciplinary team.
  • Track record of producing publications of outstanding quality.
  • Track record of contributions to national/international research conferences.
  • Track record in supervising undergraduate and postgraduate students.
  • Strong organisational skills.
  • Excellent communication skills.
  • Capacity to engage, mentor and motivate colleagues.

Desirable skills and experience

  • Experience in human population or evolutionary genomics (genome-wide coalescent analysis, natural selection scans, modelling, GWAS).
  • Experience of gene co-expression network and pathway analysis from gene expression datasets. Knowledge of genome annotation tools and recourses.
  • Experience with high performance computing systems (SLURM, etc,.).
  • Track record of obtaining funded research projects.
  • Experience in classroom teaching and tutoring.
  • Advanced computational skills and experience in the analysis of large genomic and phenotypic datasets would be ideal.
Required language skills
Excellent command of English for professional communication and research.

Starting at
01.12.2020, temporary contract to 30.11.2022
 
Workload
1,00
 
Salary
Remuneration based on UT salary rules, depending on the candidate's qualification and experience up to 2055 euros (gross) per month.
 
Additional info
We are looking for a motivated Postdoctoral Research Fellow with a PhD in computational genetics, bioinformatics or related fields who is interested in being part of the cGEM research group (supervisors Tõnis Org, Georgi Hudjašov, Irene Gallego Romero and Anders Eriksson). The postdoc’s work will focus on understanding genetic adaptations to environmental and cultural changes in human populations of West Eurasia during the last 20,000 years, a time period that covers major shifts in climate, diet and pathogen exposures in this region. The main aim of the project is to investigate how recent genetic evolution has shaped variation in the immune system and inflammation signalling and the way these systems interact with environmental factors such as biomolecules from food, pathogens and modern artificial substances.

Through the use of existing diverse DNA, RNA and phenotypic data from the Estonian Biobank, as well as experimental functional genomics work, we aim to dissect how key genetic variants affect the cells' biological responses to different types of exposures. Ultimately, this project seeks to identify pleiotropic effects in immune and inflammation regulatory pathways, including gene-gene and gene-environment interactions, in order to resolve individual differences in susceptibility to chronic inflammation and associated medical conditions. In addition, the project will dissect the roles of different dietary and environmental (lifestyle) factors in the susceptibility for metabolic and cardiovascular diseases in present-day populations, to better inform the use of genetic information to personalise the prediction, prevention and treatment of these diseases.

For further information please do not hesitate to contact:

Dr. Anders Eriksson, cGEM ERA Chair, group leader in evolutionary and medical genomics (anders.eriksson [ät] ut.ee).

Ms. Merit Keritsberg, project manager (merit.kreitsberg [ät] ut.ee)

General background  (Who we are)

The Centre for Genomics, Evolution and Medicine (cGEM) (https://cgem.ut.ee) at the Institute of Genomics combines world-leading expertise in personalized medicine, population genetics and functional genomics. Founded in 2018, we aim to manage the risks, prevention, and diagnostics of diseases for contemporary populations by considering the unique evolutionary history of every human genome.

The Institute of Genomics (www.genomics.ut.ee) was formed in 2018 through a merger of the Estonian Genome Center and the Estonian Biocentre, bringing together world class expertise in medical, population and evolutionary genomics. We host the Estonian Biobank which contains genetic and phenotypic data on over 200,000 participants. The IG contains a brand-new ancient DNA laboratory, a core facility for DNA/RNA sequencing and genotyping and its own High-Performance Computing Cluster (www.hpc.ut.ee). We publish widely in top journals and sport a vibrant and international research community of 70 researchers and students.

In addition to application documents, the candidate must submit a motivational letter and contacts of at least two references.
Application documents and notification of results


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