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Portal > Offres > Offre CPJ-2025-055 - Biologie numérique H/F

Biologie numérique M/F

This offer is available in the following languages:
- Français-- Anglais

Application Deadline : 14 July 2025 23:59:00 Paris time

Ensure that your candidate profile is correct before applying.

General information

Offer title : Biologie numérique M/F (H/F)
Acronyme : BioNum
Reference : CPJ-2025-055
Supporting establishment : National Center for Scientific Research
President and CEO : Antoine PETIT
Site concerned : Lorraine
Academic region : Nancy-Metz
Envisaged partner institution : Université de Lorraine
Establishment code :

  • UMR7039

Date of publication : 20 May 2025
Type of Contract : Tenure Track Position
Contract Period : between 3 and 6 years depending on the research project and the profile of the scientist
Proportion of work : Full Time
Remuneration : Annual salary from 54 600 Euros to 57 800 Euros depending on professionnal experience.
Scientific theme : Sciences et technologies de l'information et de la communication
Section(s) CN : 07 - Information sciences: processing, integrated hardware-software systems, robots, commands, images, content, interactions, signals and languages

Profile Required

Holders of a doctorate or a PhD or equivalent degree or applicants who have gained scientific qualifications or carried out scientific work deemed to be of an equivalent level.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

Institution Strategy

This Chair is part of the "Digital & Health" topic. The field of health, and in particular cancer research, is one of the major areas where computer science is in the process of profoundly changing. How can we better detect and predict certain tumours? Can we predict how they will develop or respond to treatment? What is the mechanism of proliferation or even invasion of cancer cells? How can we develop policies and recommendations to improve patients' quality of life during treatment? Cancer research centres are integrating the computational sciences, which have many applications, particularly in healthcare: mathematical modelling, statistics and computer science are essential for understanding, analysing and modelling ever-growing masses of data and developing new analysis methods, particularly for new acquisition technologies (sequencing, biological imaging, etc.)..
Thanks to its multidisciplinary nature, the CNRS is well placed to respond to these challenges: massive use of computer sciences and biological and clinical data in cancerology, personalisation of medical decisions, development of new technological tools and development of explainable and traceable algorithms that can be explained, making it possible to simulate and implement innovative, rational and relevant theranostic strategies.

Host Lab Strategy

The CRAN is renowned for its research in computer sciences, but also for its interdisciplinary approach to cancer research, developing original themes, particularly in spectroscopic imaging, medical instrumentation and nanotechnologies. It brings together teacher-researchers, researchers and hospital practitioners from the CHRU and the ICL (Institut de Cancérologie de Lorraine). The BioSiS department (Biology, Signals and Systems in Oncology and Neuroscience), at the interface between the digital world, radiophysics, photophysics, cell biology and clinical data, produces experimental and clinical biological data. It stands out internationally, particularly in photophysics/photo- and radiobiology, thanks to its ability to initiate and conduct research at the interface between biological and digital sciences, not only applied to, but also derived from clinical data in the field of cancerology.

International Strategy

CNRS welcomes and recruits a large number of international researchers. More than 30% of those recruited come from abroad. This recruitment will have the same ambition. In addition, the site benefits from specific actions as part of the 'Lorraine Université d'Excellence - LUE' and the unit has set up a specific 'post-doc d'excellence' scheme, which has already made it possible to recruit international researchers through the CNRS CRCN competitions.

National Directory of Research Structures (RNSR) of the host laboratory

200112440X

Summary of the scientific project

The aim of this project in computational and/or digital biology applied to health is to develop therapeutic methods through multi-scale characterisation of the mechanics of biological responses, modelling of radiation-tissue interactions and even associated image processing. The aim is to better understand, predict and control the plasticity and cellular/tissue dynamics of tumours by integrating their environment when they are subjected to standard treatments or innovative strategies. The methodological challenges are therefore to observe, characterise and simulate multi-scale biological or biophysical phenomena by developing ex vivo numerical or biological models. The models obtained will be used to help make therapeutic decisions based on preclinical clinical or biological data, to gain a better understanding of treatment response processes and to optimise therapeutic strategies.

Summary of the teaching project

The activities of the person recruited will form part of the Université de Lorraine's training dynamic, through programs of specialized teaching activities in the fields of digital technology and health. Depending on his/her profile, the person recruited will be able to take part in both Biology, Medicine and Health (BMS) and Automatics, Mathematics, Computer Science and their Interactions (AM2I) training programs.

Financial Environment

  • Total (included package ANR) : 200 k€
  • Total financement : k€

Scientific dissemination

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.

Open Science

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.

Science and society

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.

Indicators

The activity will be evaluated in particular on the basis of scientific production (publications, software, patents, etc.), on institutional and private partnerships formalized by contracts, on international presence, on the promotion of work to multidisciplinary scientific communities, on innovation and its transfer to society and on scientific dissemination to non-specialist audiences.

Methods of organization of the interviews

Only the candidates selected on file by the selection committee will be invited to the auditions.