Bioinformatician / Statistical Geneticist

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.

**Bioinformatician / Statistical Geneticist**:
**Your mission**:
**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

**Contact**:
**Remark**:
**Reference**:
Job Nb 2614