Post-Doctoral position in Systems and Population Genetics

University of Lausanne (UNIL)

Posted on 21.10.2018

Job description

The research group of Prof. Olivier Delaneau ( the department of Computational Biology of the University of Lausanne is seeking to recruit a talented and motivated postdoctoral researcher to work on projects in the fields of Systems and Population genetics.

The University of Lausanne is a higher teaching and research institution composed of seven faculties where approximately 14,300 students and nearly 3,900 collaborators, professors, and researchers work and study. Ideally situated along the lake of Geneva, near Lausanne's city center, its campus brings together over 120 nationalities.

The successful candidate will work on a project aiming at better understanding the function of regulatory variations in the non-coding regions of the human genome by mining large scale multi-omics data sets containing genomic, transcriptomic and epigenetic data across multiple individuals and cell types. This project is structured around two aims. First, the regulatory landscape around genes will be modeled as network structures regrouping genetic variants, regulatory elements and genes. Second, the resulting networks will be used in order to improve genome-wide association studies both at the discovery and interpretation levels. During the course of the project, the successful candidate will have to develop new analytical methods able to achieve these aims and to apply them on multiple large scale genomic data sets we have access to. Besides this, some teaching and administrative tasks related to the department’s activities will also be required.

The duration of the contract is 1 year with a possible extension for 3 additional years.


The candidate must have obtained a PhD degree in the field of genomics, computational biology, bioinformatics or statistical genetics. Programming skills in any language (e.g. C/C , java, perl, python or R) are required. Any experience in the processing and the analysis of high throughput sequencing data is a plus. We expect the candidate to be motivated, creative, communicative and happy to work in a collaborative and inter-disciplinary environment.

How to apply

The deadline for application is 31/10/2018 and the expected date of start is 01/01/2019.

Applications should be submitted through UNIL success factors ( and contain a cover letter, a Curriculum Vitae, a list of publications and the contact details for 3 references. Any additional details on the position can be asked to Olivier Delaneau (

Original post

Back to Jobs list