Bioinformatician / Statistical Geneticist

Updated: 2 months ago

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.


Your mission :
The Auwerx lab (LISP) is heavily focused on mouse and human genetics, as well as systems biology, applied to large C. elegans, mouse genetic reference populations and large human populations (e.g. UKBB, Estonian biobank, etc). We are looking for a dynamic geneticist with experience in statistical genetics and/or computational bioinformatics to complement and support our multi-disciplinary team of scientists. The candidate should have strong background in genetics, statistics and programming, as well as a keen interest in human disease patho-physiology. He/she will be working in close collaborations with a team of systems biologists and physiologists, as well as medical experts and the biopharma industry.


Main duties and responsibilities include :
  • Establish reproducible pipelines and best practices for genetic and omic data analyses.
  • Using the above pipeline, interrogate human genetic datasets as a complement to mouse and worm system genetics results from the laboratory.
  • Coordinate the biological validation and translation of the results in with a team of bio-medical specialists.

Your profile :
  • PhD in genetics, biomedical sciences, bioinformatics or relevant fields.
  • Excellent understanding of biology for interpretation of results.
  • Hands on experience with large sequencing, genotypic and phenotypic datasets. Experience with other omics data is considered a plus.
  • Good knowledge of statistical, computational and machine learning methods for handling high dimensional datasets.
  • Good programming proficiency as well as fluency in python and/or R.
  • Familiarity with Linux/Unix.
  • Experience in HPC, cloud computing, and container technologies are considered a plus.

We offer :
  • Unprecedented access to big data (genetic, phenomic, and molecular datasets) across multiple organisms including human data.
  • The chance to work with a multidisciplinary team of scientists and developers.
  • A full-time contract for two years with a possibility of extension.

Start date :
Expected start date would be as soon as possible

Term of employment :
Fixed-term (CDD)

Duration :
24 months

Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.

Reference :
Job Nb 2614

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