Data-Science for Health M/F

23 Feb 2024
Job Information

Organisation/Company

CNRS

Department

Direction des ressources humaines

Research Field

Other

Researcher Profile

First Stage Researcher (R1)

Country

France

Application Deadline

20 Mar 2024 - 23:59 (UTC)

Type of Contract

Other

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

23 Feb 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Multidisciplinarity is one of the strengths of CNRS, capable of mobilizing high-level researchers in essentially every field of modern experimental science. In the (Junior Professor Chair) CPJ project, the goal is to develop computer science approaches to address methodological challenges posed by health issues, particularly in connection with the analysis of heterogeneous, massive, and complex health data. This CPJ is part of a broader series of different CPJs at the interfaces between computer science, mathematics, biology, and health, aiming to nationally develop an ecosystem of researchers from various disciplines capable of addressing all computer science challenges related to health data processing, from the most fundamental issues to translational research. CNRS, in its Strategic Plan (COP), promotes interdisciplinary collaboration, and this CPJ aligns with that objective.

Four laboratories have been identified for this position, combining fundamental research and strengthened collaborations with health research units and/or University Hospitals.
The Icube laboratory (Laboratory of Engineering Sciences, Computer Science, and Imaging) is a joint research unit between CNRS and the University of Strasbourg. Its interface with the medical field is particularly developed through the presence of 6 teams at the University Hospital (CHU), focusing on health engineering. Icube is specifically responsible for the health data warehouse project at the CHU and research activities in data science, AI, and biostatistics related to the collection and processing of health data.
The LABRI laboratory (Bordeaux Laboratory for Computer Science Research) is a joint research unit involving CNRS, the University of Bordeaux, and Bordeaux INP. Digital health is at the core of the laboratory's scientific dynamics, with the establishment of a structuring axis on this theme in 2022, conducting cutting-edge research in medical imaging, multi-omic data analysis, and predictive modeling. These efforts are closely coordinated with Bordeaux University Hospital, Neurocampus, and laboratories of the Oncosphere New Aquitaine.
The LIRIS laboratory (Computer Science Laboratory in Image and Information Systems) is a joint research unit involving CNRS, Claude Bernard University, and INSA Lyon. The laboratory's strategy in health data science is built through structuring projects that involve both data management teams and signal processing teams, collaborating with health and hospital stakeholders in the Lyon area, especially CIRI and HCL (Hospices Civils Lyonnais). The laboratory aims to be a key player in digital health challenges, both locally in Lyon and nationally.
The TIMC laboratory (Translational Research and Innovation in Medicine and Complexity), a joint research unit between CNRS and the University of Grenoble Alpes, engages in interdisciplinary research in massive and complex data sciences in health. As part of the Multidisciplinary Institute of Artificial Intelligence in Grenoble, TIMC aims to strengthen its contribution to the HUB of the 4 health data warehouses in the AURA region, including the one in Grenoble. The goal is also to enhance expertise in modeling and developing algorithms for the processing of complex and massive data in Public Health and/or high-throughput genomics.

"High expectations are emerging in the healthcare field regarding data science and machine learning, which are expected to impact the entire healthcare journey: from the development of innovative molecules and medical devices to the improvement of the healthcare system, including the virtualization of clinical trials and the personalization of treatments.
Health data is massive, complex, and heterogeneous, coming from various sources such as health information systems, individual records, clinical research, observational studies, socio-economic data, environmental factors, and patient care pathways. The acquisition, storage, and analysis systems for health data pose new challenges in computer science, including issues related to the privacy of personal data, data interoperability, and the ability of models to consider patients and their ecosystem/environment over time. These challenges require innovative research in data management, natural language processing, dynamic modeling, statistical and deep learning, artificial intelligence, etc. Such research must take into account the expectations of users, including patients, healthcare providers, and caregivers.
The scientific project of the candidate should identify one or more challenges in computer science arising from the new horizons opened by the exploitation of health data and propose original methodological approaches to address these issues, in collaboration with health and hospital units.

The activities of the recruited individual will align with the training dynamics of the respective sites (University of Grenoble-Alpes, University of Strasbourg, Claude Bernard University, University of Bordeaux) through their specialized educational programs in computer science at the interfaces with health and biology disciplines.

The CNRS is developing a strong policy in favor of open science. Open science consists of making research results "as accessible as possible and closed as necessary". As such, the CNRS aims to make 100% of the texts of publications resulting from the work of its laboratories accessible , in particular through deposit in HAL. The data produced must also be made available and reusable, except for specific restrictions. In addition, the guiding principles of individual evaluation have been revised in accordance with the DORA declaration, to be more qualitative and to take into account all facets of the researcher's profession.

The dissemination of the results will be done through world-class scientific productions: publications, patents, software... In addition, the results will be communicated to various targets such as scientific communities, media, decision makers, general public, schools, etc., with an adapted calendar. Specific tools may be developed such as websites, newsletters, meetings, international symposia, summer schools and conferences.

The relationship between science and society is now recognized as a full dimension of scientific activity. The project will develop this dimension in synergy with all the partners. The resulting research work will contribute to informing public decision-making. Participatory science initiatives may be initiated with actors from the project's socio-economic and cultural eco-system.

Requirements
Additional Information
Eligibility criteria

holders of a doctorate or a PhD or equivalent degree or applicants who have gained scientific. There is no restriction on the age or nationality of applicants. All CNRS positions are accessible to people with disabilities, with special arrangements for tests made necessary by the nature of the disability.

Website for additional job details

https://emploi.cnrs.fr/Offres/CPJ/CPJ-2024-029/Default.aspx

Work Location(s)

Number of offers available

1

Company/Institute

Direction des ressources humaines

Country

France

Geofield

Where to apply

Website

https://emploi.cnrs.fr/Candidat/Offre/CPJ-2024-029/Candidater.aspx

STATUS: EXPIRED