Data Engineer

 CDD · IR  · 36 mois    Bac+5 / Master   Neurospin, CEA · Gif-sur-Yvette (France)

Mots-Clés

python data neuroimaging

Description

Data Engineer Position at NeuroSpin, CEA, Paris-Saclay University, France

 

Location


NeuroSpin is France’s main research center for innovation in brain imaging technologies.
NeuroSpin is part of the CEA research institute and member of the Paris-Saclay university
ranked 13 at the Shanghai Academic Ranking of World Universities .


We are looking for a data engineer (with some overlap with data scientist) to organize and
perform processing of multi-modal (OMICs, brain imaging, clinical (electronic) Case Report
Form (eCRF), etc.) of three large scale projects:
    •2019-2024: PsyCARE (RHU). Preventing psychosis through personalized care. PI: MO
    Krebs, WP leader: E Duchesnay, team budget: 715k€.
    •2022-2026: FAME (RHU). Improving FAMily members’ Experience in the ICU. PI: E
    Azoulay, WP leader: E Duchesnay, team budget: 547k€.
    •2018-2023: R-LiNK (H2020-SC1-2017, 754907). Optimizing response to Li treatment
    through personalized evaluation of individuals with bipolar I disorder: the R-LiNK
    initiative. PI: F. Bellivier, WP leader: E Duchesnay and leader for the CEA, team
    budget: 800k€.
    •2020-2025: Artificial Intelligence (AI) Chair. Big2small Transfer Learning from Big data
    to Small Data: Leveraging Psychiatric Neuroimaging Biomarkers Discovery. PI: E
    Duchesnay, budget: 543k€.


Mission


The mission is divided into four stages:
    1. Organization of a multi-modal database: Integration of OMICs, neuroimaging and
    clinical data (eCRF) from PsyCARE and FAME project in Neurospin central database.

    2. Pre-processing and quality control of OMICs and neuroimaging data.
    NeuroSpin, CEA, Université Paris-Saclay, 91191 Gif sur Yvette, France
    Tel: +33 6 89 35 92 72 / +33 1 69 08 78 62. email : edouard.duchesnay@cea.fr

    3. Management of interoperability between

    4. Machine Learning (ML): apply state-of-the-art ML pipeline to discover the predictive
    signature of clinical evolution on the R-LiNK data in the context of the AI Chair.


Candidate's profile


• Master 2 bioinformatics, computer science, statistics, applied mathematics or signal/image
processing
• Skilled in Python language or eager to learn Python.
• Organizational skills, enthusiasm and desire to learn.
• Junior candidates are welcome!

 

Contacts


• edouard.duchesnay@cea.fr
• julie.victor@cea.fr
• loic.dorval @cea.fr

Candidature

Procédure : Mail

Date limite : None

Offre publiée le 20 mai 2022, affichage jusqu'au 17 juillet 2022