Medicinska fakulteten, Institutionen för experimentell medicinsk vetenskap

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

The Research group
Protein Structure and Bioinformatics group investigates genetic and other variations and their effects on DNA, RNA and protein, on structural, functional and other levels. We have developed several of the most reliable variation effect predictors as PON-P2 and PON-MMR for variant pathogenicity, PON-Sol and PON-Stab for molecular effects and PON-mt-tRNA and PON-BTK for molecule-specific predictions. We use and develop bioinformatic methods to reveal the significance of the variants especially in the relation of diseases.

We offer

Lund University is a government agency, which means that you receive special benefits, generous holidays and a favorable occupational pension. Read more on the university's website about being employed at Lund University. Work with us.

A postdoctoral position is available to develop machine learning-based prediction methods for variation analysis and for analysis of large genomic data sets in human diseases and conditions. The main task is development of algorithms and analysis of massive genomic and other data sets.

Requirements for this position:

  • Candidate should have a PhD degree in bioinformatics, computational biology or on a related field
  • Background in machine learning and statistics required.
  • Knowledge in programming, databases and data analysis is required
  • Excellent skills in oral presentation and good writing skills
  • Expertise on working in Unix/Linux environments
  • Programming skills, preferably on Python

Desirable recuirements for this position:

  • Knowledge about relevant areas in biology, medicine (molecular biology), structural biology, biochemistry or genetics
  • Knowledge of biomedical resources and infrastructures
  • Competences within medical statistics and statistical programming, preferably in R
  • Expertise in genomic data analysis



Other information

This is a full-time, fixed-term employment of 2 years (with a chance of prolonging it for one more year after the first two years) with start date 2022-10-01 or on agreement. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a post-doctoral fellow”) between Lund University, SACO-S and OFR/S, dated 1st February 2022.

Eligibility (General)

Eligible to be employed as a postdoctoral fellow is a person who has completed a docotral degree or a forein degree deemed equivalent to a doctoral degree. Evidence that the eligibility requirement is met must have been received at the latest at the time when the employment decision is made.

Another important requirement to take into consideration when applying for this position, is that only people who have taken their doctorate no more than three years ago can apply.

If there are special reasons, the doctoral degree may have been completed earlier. With special reasons is meant leave due to illness, parental leave, positions of trust within trade unions, service in the total defense, or other similiar circumstances.

About The Faculty of Medicin

Type of employment Temporary position
Contract type Full time
First day of employment 2022-10-01
Salary Månadslön
Number of positions 1
Full-time equivalent 100 %
City Lund
County Skåne län
Country Sweden
Reference number PA2022/2690
  • Mauno Vihinen, 046-2220000
  • Herbert Floria, 046-2220696
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, 046-2229364
  • SEKO: Seko Civil, 046-2229366
Published 19.Aug.2022
Last application date 09.Sep.2022 11:59 PM CEST

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