Senior Data Scientist for Precision Medicine Applied to Cancer
Epfl
Lausanne, Geneva, CH
vor 3 Tg.

The Ecole polytechnique fédérale de Lausanne (EPFL) is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide.

The EPFL employs 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 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.

Senior Data Scientist for Precision Medicine Applied to Cancer (W / M)

Your mission :

The EPFL Laboratory of Virology and Genetics (LVG), headed by prof. Didier Trono, and the Swiss Data Science Center (SDSC) are looking for a Senior Data Scientist for Precision Medicine Applied to Cancer with sound experience in Machine Learning techniques to work on cancer research related projects.

The LVG is part of the EPFL School of Life Sciences and offers a challenging and stimulating environment with outstanding career opportunities and excellent benefits, while SDSC is a multi-

disciplinary team of Senior Data Scientists whose mission is to accelerate the use of data science and machine learning techniques within the ETH Domain, the Swiss academic community, and the industrial sector.

The candidate will apply his / her advanced knowledge of ML algorithms to1) Define cancer subtypes 2) Uncover biomarkers for precision medicine staging, prognosis and response to treatment (time to event analysis) 3) Define the site of origin of metastasis of unknown origin.

We expect the candidate to have wide knowledge of machine learning tools like Kernel Methods, (Deep) Neural Network or Latent Variable Models, as well strong interests for designing new models for having an impact on genomics and more broadly on precision medicine

The selected candidate will be located at the Health 2030 Genome Center (at Campus Biotech in Geneva) and at the SDSC (at EPFL campus in Lausanne).

Main duties and responsibilities include :

The candidate must be highly motivated, like programming and be Unix-proficient. She / he will apply his / her practical experience in cleaning, mining and analysing huge volumes of data to develop Machine Learning solutions in the field of personalized health and precision medicine.

Candidates are expected to possess deep experience in solving complex problems using data-driven methods. The ideal candidate also has good background in Big Data technologies. Your profile :

Title

  • Master’s degree or PhD in Machine Learning, Statistics, Computer Sciences or Electrical Engineering
  • Attitude

  • Highly motivated
  • Excellent communication skills
  • Technical skills

  • Deep understanding of ML algorithms
  • Unix and shell scripting
  • Good programming ability. Fluent in python and / or R
  • Knowledge of statistics and data modelling
  • Languages

  • English (French is a plus)
  • Ideal skills

  • Knowledge of Apache Spark
  • Knowledge in biology in general and cancer biology in particular
  • Applications via email or postal services will not be considered. We offer :

  • A full time contract for a period of one year with the possibility for extension
  • A competitive salary according to EPFL salary scale
  • Start date :

    As soon as possible Term of employment :

    Fixed-term (CDD) Work rate :

    100% Duration : CDD 1 year, renewable

    Remark :

    Only candidates who applied through EPFL website or our partner Jobup’s website will be considered.

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