Research Fellow of Bioinformatics

University of Tartu Institute of Biomedicine and Translational Medicine


Institute of Biomedicine and Translational Medicine


Duties and responsibilities
Scientific research in the project PRG1021 (funded by Estonian Research Agency) “Mono- and digenic causes of male infertility in the exome sequencing era: novel genes, digenic inheritance, pleiotropic effects and clinical implications” and in the framework of the other grants related to this topic, implemented by the research team.

Our team is seeking a highly motivated and independent researcher with professional experience in bioinformatics, who has a deep scientific interest in human and medical genetics. The welcomed candidate is fascinated by the challenges related to top-international level research to clarify the genetic causes of infertility and reproductive health disturbances. The tasks involve large-scale genetic data analysis in the framework of PRG1021 project and participation in the collaborative research actions of the team, both locally and internationally. The research fellow is involved in the implementation of raw NGS datasets, bioinformatics and statistical analysis of human medical genetic/genomic datasets.

The research fellow participates in research projects of the human genetics group by pursuing and contributing in both, individual and team-based research in reproductive genetics. During five years, the research fellow must carry out research at least in the volume equivalent to 1.5 doctoral thesis, as well as participate in science communication activities, e.g. writing of scientific articles and participation in scientific conferences with presentations based on the obtained results. In a broader context, the duties of the research fellow include participation in the general management of the research team and supervision of students at all training levels.

Required qualifications
PhD or an equivalent qualification in mathematical statistics, bioinformatics, genetics or related subjects.

Required experience
The research fellow has a track record in the bioinformatic analysis of large-scale genetics datasets and experience in software tools in statistics (R, etc.) and in programming languages (Python, etc.). A candidate is able to visualize large datasets for pattern and signal detection, and for the identification of possible errors in raw or processed datasets. Previous experience in interpreting outputs from the statistical and bioinformatic analysis of human and medical genetics data(sets) is a benefit. Successful experience in international collaboration and capability in scientific teamwork is required. Training at international courses/conferences and experience in supervising students is a bonus.

Required language skills
Documented very good oral and written English. Professional English at the level of presenting the research results at scientific conferences, writing and publishing scientific papers in international journals, participating in writing grant applications of the team. Knowledge in Estonian is not a prerequisite, but the candidate should have the readiness to take institutionally offered complimentary Estonian language courses. According to the Language Act, academic staff with foreign citizenship working in Estonia must have acquired at least B1-level Estonian language skills after five years of work.

Starting at


Remuneration based on UT Salary Rules and based on the candidate’s professional experience and qualifications.

Additional info
Prof Maris Laan, maris.laan [ät], 737 5008.


In your application, please refer to


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