Research Fellow of Statistical Genetics and Bioinformatics
University of Tartu Institute of Genomics
Estonia

Available positions:
2
One person can be elected to one position.


 
Institute of Genomics

Deadline:
02.04.2020

Duties and responsibilities
  • Large-scale data processing and analysis in high performance computing cluster and cloud environments.
  • Execution of genome-wide analysis of thousands of phenotypes (pheWAS) to support ongoing and new research projects by preparing and delivering analysis results in a timely fashion.
  • Evaluate existing and new methods and solutions for genetic data processing, analysis and visualisation.
  • The successful candidate will also take part in automating the developed workflows into efficient and scalable computational pipelines.
See also job description.

Required qualifications
PhD or equivalent qualification in a relevant subject; postdoctoral training experience would be an asset.
See also requirements for teaching and research staff.

Required experience
Essential skills and experience
  • Essential skills include knowledge of applied statistics, excellent Linux/Unix user skills, experience with high-performance computing clusters.
  • Command of some general-purpose programming language (R, Python or similar).
  • Proactive, solution-seeking and responsible way of working independently and as part of a larger team, keeping deadlines under pressure.
  • Excellent communication and documenting skills, strong organisational skills.
  • Capacity to engage, mentor and motivate colleagues.
  • High and continuous motivation to learn.


Desirable skills and experience

  • Experience with commonly used statistical genetics tools (e.g. Plink, Hail, bcftools).
  • Cloud computing experience would be an asset.
  • Previous experience of industry collaboration.
  • Experience in team or project management.
  • Supervising undergraduate and postgraduate students.
Required language skills
Excellent command of English for professional communication, writing and research.

Starting at
01.06.2020, temporary contract to 31.08.2023

Workload
1,00

Salary
According to the salary rules of the UT, depending on the candidate's qualification and experience up to 3000 euros (gross) per month.

See also UT salary rules.

Additional info
The Institute of Genomics was formed in 2018 through a merger of the Estonian Genome Centre (EGC) and the Estonian Biocentre (EBC) bringing together world-class expertise in medical, population and evolutionary genetics and genomics. For more information, please visit https://genomics.ut.ee/en.


We host, develop and manage a population-based, longitudinal biobank representing about 20% of Estonia’s adult population (200,000 participants), established in 2000. The whole cohort of the biobank is fully genetically characterized by whole-genome genotyping arrays, 3,000 individuals are additionally whole-genome, and 2,500 whole-exome sequenced. The data repository is linked with national health registries and hospital databases for up-to-date phenotypic information.

We use these large comprehensive genetic and health datasets to perform a wide range of genetics and genomics analyses, including GWAS and PheWAS studies to identify genetic variants and genes associated with health and disease outcomes. Also, the return of individual genomic results (such as polygenic risk scores, high impact alleles and clinically actionable mutations) to biobank donors has started, translating our basic research to clinical practice. At the same time, the EBC maintains a sizable sample bank of over 25,000 human DNA samples from hundreds of populations from Eurasia and beyond, which is relevant in establishing the evolutionary driving forces behind human complex diseases.

We offer an excellent opportunity to be part of leading large data projects working in the forefront of data application for genome health in the field of genomics and building solutions with a real positive impact on personalised medicine, healthcare and well-being. We are a young, vibrant and highly motivated team. Our friendly, flexible, and supportive working culture make us a great place to work.

We are looking for an experienced and highly motivated computer scientist with experience on large scale (genetic) data handling and analyses.

In case of questions about this position, please do not hesitate to contact:

Priit Palta, Institute of Genomics, Senior Researcher (priit.palta [ät] ut.ee)

Tõnu Esko, Institute of Genomics, Vice Director of Estonian Biobank Innovation Centre (tonu.esko [ät] ut.ee).
Application documents and notification of results


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