Research Data Coordinator

**Paris Brain Institute (ICM) is recruiting a**:
**_Research Data Coordinator (M/F) _**

**_As soon as possible _**

**_Permanent (CDI) _**

**_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) _

We are looking for a person who can coordinate data governance at the Paris Brain Institute. It requires a
person who is passionate about open science, while being knowledgeable regarding issues of data protection,
confidentiality, and privacy. Your main role will be to help researchers and platforms navigate the institute’s
data policy, and to be an active advocate and trainer for best practices in data management and sharing. You
will create awareness concerning all aspects of data governance, including the life cycle of data, data
management plans, the creation of metadata, the use of open data formats, and will indicate where legal
advice or data protection procedures are required. The position requires the ability to liaise with a wide range
of entities within and outside of the institute, both scientific and administrative. You will be part of an
enthusiastic and supportive team of data experts, research support staff, administrators, and researchers. A
flexible, social and problem-solving attitude, combined with strong leadership and management skills will
allow you to coordinate a growing team of data-managers within the DAC platform, while building bridges
with data collection staff throughout the institute. In short, you will:

- Be a central point of contact for researchers concerning data governance
- Support research teams in following the Institute’s data policy
- Lead a team that manages research data(bases) of the institute
- Promote best practices in research data management and open science
- Build bridges between research teams and support (legal, DPO, risk assurance)

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- Communicate between research teams and IT to anticipate infrastructure needs
- Resolve issues concerning data governance with principle investigators, postdocs and CRAs
- Create estimates and quotes for data management support

**PROFILE**
- Know-how (savoir-faire) _
- Experience in a research environment (academic or enterprise)
- Experience in implementing Data Management Plans (DMPs), GDPR, French health law, data pro
- tection assessments and regulatory ethical procedures (CNIL), or a strong desire to learn
- Understanding of research data life cycles and IT solutions for data governance, or a strong desire

to learn
- Knowledge (savoir)- Master's degree or higher in science, law, biology, health, data management, biostatistics or re
- lated field
- Knowledge of best practices and regulations regarding (clinical) research data management desired
- Understanding of digital tools for data management and (clinical) research databases (e.g., REDCap)
- Ability to converse in English (required) and French (desired)
- Soft skills (savoir-être) _
- A passion for FAIR, open science and scientific reproducibility
- Excellent organizational and project management skills (individual and team)
- Excellent interpersonal, communication and leadership skills
- Flexible and solution-oriented with the ability to communicate with researchers and staff from

different backgrounds and with different needs, timetables, and understanding_ _
- Willingness to learn from - and actively integrate into - a network of research teams, research support

departments, and