Bioinformatics and Quantitative Genetics

Type de poste
Niveau d'étude minimal
Dates
Durée du poste
Contrat renouvelable
Contrat renouvelable
Détails de renouvellement
12 mois/1 an
Date de prise de fonction
Date de fin de validité de l'annonce
Localisation
Nom de la structure d'accueil
Adresse

Génopode, Quartier UNIL Sorges
1015 Lausanne
Suisse

Contacts
Olivier Delaneau
Email du/des contacts
olivier.delaneau@unil.ch
Description

Postdoctoral position:

Introduction
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.

Presentation
The research group of Prof. Olivier Delaneau at the department of Computational Biology is seeking to recruit a postdoctoral researcher to work on projects in the fields of Systems and Population Genetics. For more details, please consult the website of the group: https://odelaneau.github.io/lap-page/

Desired qualifications
The candidate must have obtained a PhD degree in the field of computational biology, bioinformatics, computer science or statistics. Advanced skills in commonly used programming languages (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, communicative, ambitious and happy to work in a collaborative and inter-disciplinary environment.

Job description
The successful candidate will work on multiple projects aimed at understanding the downstream effects of genetic variations located in the non-coding regions of the human genome; the main goal being to better characterize the functional impacts of disease associated genetic variants identified in the context of Genome-Wide Association Studies (GWAS). To do so, the successful candidate will mine large-scale multi-omics data sets containing genomic, transcriptomic and epigenetic data across multiple individuals and tissues using statistical approaches and models. New methods developments will be undertaken in order to carry out new types of data integration and analysis. Besides this, the successful candidate will also be involved in some teaching and administrative tasks related to the department’s activities.

Application materials
Any application should include: a cover letter describing the research motivation and experience, a publication list, a curriculum vitae and the contact details for three referees. Applications should be sent using the following link (https://tinyurl.com/y2a4vox9). For further information please contact olivier.delaneau@unil.ch

Equipe adhérente personne morale SFBI
Equipe Non adhérente