A Software development engineer (M/F)

Job Location
Hôpital Pitié Salpêtrière
47, boulevard de l'Hôpital
75013 Paris
Job Description

You will be in charge of developing, deploying and validating software to learn disease progression models from large databases of patients with complex multimodal data (medical imaging data including MRI and PET, cognitive scores, blood tests…).


Main Missions

  • Develop and maintain disease modeling software, in interaction with the researchers

  • Package the software to deploy it in the HBP informatics platform

  • Develop software tools to connect the software to data management systems and to feature extraction software tools and to deploy them on parallel computing

  • Deploy and validate the software on patients datasets

  • Provide support to partnering sites using the software

  • Contribute to project management (task monitoring, reports, presentations…)


    Technologies involved: Python, C++, Docker, Git, Shell scripting




  • Engineer in computer science or electrical engineering

  • Strong programming skills

  • Experience of development in UNIX environments (Linux and/or MacOS)

  • Training and/or experience in medical imaging would be a plus

  • Experience in data management would be a plus

  • Fluent in English

  • Rigor and autonomy

  • Good relational and communication skills
How to Apply

CV to send at: [email protected]

About Our Organization

The ARAMIS lab (www.aramislab.fr) at the Brain and Spine Institute (http://www.icm-institute.org), is dedicated to the development of new paradigms for the statistical exploitation of large neuroimaging and clinical data sets. ICM is one of the world top research institutes for neurosciences. The institute is ideally located at the heart of the Pitié-Salpêtrière hospital, downtown Paris. The ARAMIS lab is also part of INRIA, the national French research institution for computer science. The present position is offered within the framework of the Human Brain Project (https://www.humanbrainproject.eu/), the flagship European project on modeling of the human brain.

The ARAMIS lab develops approaches to model the progression of neurological diseases and assist in the diagnosis and prognosis. The team has set up front-end data analysis methods to learn typical scenarios of disease progression from large multimodal collections of neuroimaging and clinical data. These scenarios combine several types of data including blood tests, cognitive assessments and brain images of various modalities like anatomical, diffusion and functional Magnetic Resonance Images (MRI). This research activity has led to software prototypes and proofs of concepts, which have shown the potential of such virtual models of disease progression for the early diagnosis, prognosis and monitoring of disease progression in Alzheimer’s disease. This approach will be further validated in the framework of the Human Brain Project.

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