Junior Engineer Biological Image Analysis

**Paris Brain Institute (ICM) is recruiting a**:
**_Junior engineer biological image analysis (M/F) _**

**_Per direct _**

**_18 months (renewable) _**

**_A Paris 13ème _**
- The Paris Brain Institute (ICM) is a private foundation recognized as being of public utility, whose purpose is _
- fundamental and clinical research on the nervous system. On the same site, 700 researchers, engineers and _
- doctors cover all the disciplines of neurology, with the aim of accelerating discoveries on the functioning of _
- the brain and the development of treatments for diseases such as: Alzheimer's, Parkinson's, multiple sclerosis, _
- epilepsy, depression, paraplegia, tetraplegia, etc._***

**POSITION**
- Context _

The Paris Brain Institute is investing in cutting-edge technologies and expertise as part of its transversal
approach to the discovery of new treatments for neurological diseases. The Data Analysis Core facility (DAC)
mission within this ambitious program is to develop new tools and analyses, coordinate FAIR data governance
across the institute, and accompany researchers in exploiting the full potential of the institute’s technology
and data ecosystem. The DAC consists of an enthusiastic interdisciplinary team of experts in biostatistics,
bioinformatics, computational neuroscience, and data management. We accompany researchers throughout
the research cycle, from idea to publication. We perform analyses, develop databases, and offer training in
data analysis and good practices in data management. We are currently recruiting new team members to
strengthen our expertise in bioinformatics (spatial transcriptomics), image analysis using deep learning
(microscopy, histology, and neuroimaging), and research data governance. If you are interested in the brain
- Job description (mission) _
- Scripting of image analysis algorithms from light and electron microscopy images
- Understand and translate research questions regarding image analysis: preprocessing, segmentation

and extracting (statistical) features
- Benchmark and assist researchers in the use of pre-existing software for image analysis such as
- Document and teach image analysis

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**PROFILE**
- Know-how (savoir-faire) _
- Fluency in manipulation, visualization and conversion of images, including high-res (pyramidal) for
- mats
- Knowledge of tools, libraries and deep learning / machine learning / AI procedures in (biological)

image analysis

and algorithms in image segmentation and classification
- Experience using deep learning / machine learning / AI for analyzing microscopy images is highly

desired but not required

but not required
_Knowledge (savoir) _
- Bac+5 (master or engineer) computer science/biostatistics/bio-informatics with a focus on machine

learning in (biological/medical) image analysis, or equivalent level through professional experience in
a similar field
- Image analysis in Python (required) and R/MATLAB/C/C++ (desired)
- Project management using Gitlab
- Soft skills (savoir-être) _
- Autonomy to quickly learn new methods adapted to the wide variety of data
- Ability to integrate into a multi-disciplinary team with team spirit, and a collaborative working style_ _
- Ability to communicate with researchers and staff from different scientific/clinical backgrounds_ _
- Good command of academic English
- Conversational French desired but not required
- Conditions _

The position will be closely coordinated (shared) with the QUANT microscopy platform, allowing integration
with researchers working on related topics. QUANT is equipped with state-of-the-art confocal, multiphoton,
widefield, and light-sheet photonic microscopy, as well as transmission electron microscopy. The team
includes permanent engineers dedicated to supporting the acquisition of images.

Please send your CV and letter of motivation (in English), indicating name and contact details of two

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