To reinforce our team in Lausanne, Switzerland, we are seeking a Post-doctoral.
Post-doctoral positions in statistical genetics


University of Lausanne (UNIL)

Work Location

Lausanne, Switzerland

Employment fraction


Type of contract


Job tasks
The group of Prof Zoltan Kutalik is seeking candidates for two Postdoctoral (Premier Assistant) positions at the Departments of Computational Biology, University of Lausanne, Switzerland. The Statistical Genetics Group ( is devising and applying computationally efficient statistical methods to better understand the genetic architecture of complex human traits (with strong focus on obesity and cardiometabolic diseases) and their causal relationship to each other. The group is also a member of the SIB Swiss Institute of Bioinformatics.

Project topics:
  • Model-based causal inference in medium-scale human phenotype networks.
  • Distinguishing convergence, mate-choice and confounding factors underlying assortative mating patterns for complex human traits

Your responsibilities:
The finer details of each research project can be defined together with Prof. Kutalik depending on the main interests and competencies of the Postdoc and ongoing opportunities in the lab. Most of his/her time will be dedicated to research. The University of Lausanne has a strong training record and a minor contribution to teaching is thus expected, including the possibility of supervising master’s students.

The job description specifies:
75% Personal research
20% Participation in teaching activities and master’s student supervision
5% Lab or institutional tasks

Profile requirements
The ideal candidate should have a strong background in statistics/mathematics and programming (past experience with genome-wide associations studies, causal inference methods, genetics is a plus), a proven research track record including prior experience publishing in international peer-reviewed journal, and a high degree of motivation.

Your qualifications:
We are seeking to recruit candidates with a PhD in a mathematics / statistics / computer science with prior research activity in genetics / biological sciences. Prior experience in publishing papers in peer-reviewed journals is required.

Candidates need to have demonstrated knowledge of method development, programming skills — ideally in the areas of statistical genetics, bioinformatics or computational biology. A keen interest in the genetics of human health is required. Experience with causal inference and GWAS analyses would be an advantage. The applicants should be able to work in a team.

Desirable interpersonal skills:
Ability to plan research goals several weeks ahead and execute them fairly independently respecting major project milestones Good cooperative skills with other researchers and team members Good communication skills (presenting /discussing research results within group, at seminars/conferences) Enjoy mentoring colleagues and teaching students

How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV and letter of motivation to: Zoltan Kutalik (