Data Scientist Data Scientist – open position at CHUV

Data Scientist – open position at CHUV
CHUV-DNC-LREN
LREN is looking for a Data Scientist to join the team working on the Medical Informatics
Platform of The Human Brain Project.
Candidate profile
Applicants should hold a PhD.
They should have a background in at least 2 of the following fields:
• bioinformatics
• biostatistics
• modeling
• computer science
• imaging
• genetics
Position
Contract: 100%, 1-year
year contract, renewable
Start date: as soon as possible
Location: CHUV, Lausanne, Switzerland
Application
Applications should be sent to cedric.
[email protected]
• cover letter
• detailed CV
• 2 references.
Deadline: position open until filled.
filled
More information
Dr. Ferath Kherif
deputy director of LREN
Phone: +41-21-314.95.93
www.chuv.ch
www.unil.ch/lren
www.humanbrainproject.eu
The Human Brain Project
The Laboratoire de recherche en neuroimagerie – LREN – is part of the Department of Clinical
Neurosciences of the University Medical Centre of Lausanne – CHUV – in Switzerland.
LREN is participating in the Human Brain Project – HBP – funded by the European Union and
coordinated by the Ecole Polytechnique Fédérale de Lausanne (EPFL). Within the HBP the CHUV is
deeply involved in the Medical Informatics subproject, which started in October 2013.
What is the Medical Informatics subproject?
subpro
The goal of the Medical Informatics subproject is to federate hospital and other clinical data on all
brain diseases and across multiple levels of biology for data mining and rule-based
rule based cluster analysis in
order to derive unique objective biological signatures of brain disease.. Clinical data, tools for
datamining and rule-based
based clustering will be provided through a Medical Informatics Platform.
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The Medical Informatics Platform will become a service to:
a) Clinicians: for objective diagnoses and treatment of brain disease
b) Neuroscientists: to apply, test and input new models and methods
c) Pharmaceutical and biotech companies: for disease target discovery.
Unique biological signatures of a disease will also serve as prescriptions to configure brain models
of disease for simulation-based predictions across inaccessible levels of biology, studying the causal
chain of events in brain diseases, and performing drug simulations.
Partner institutions in the subproject
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Athens University of Economics and Business
Ecole Polytechnique Fédérale de Lausanne
Hôpitaux Universitaires Genevois
Tel Aviv University
Université de Bordeaux
University College London
University of Athens
Uppsala University
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