51 Emplois pour Scientific Research - France

Type de structure : Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Contexte et mission : You will work in the context of the project REWIND (pRecision mEdecine WIth longitudinal Data), a multicentric project (Paris, Bordeaux, Lyon, Grenoble, Nice) granted via the “Investissement d’avenir” PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data.The project will allow the development of a new generation of decision support systems, which will help clinicians at the bedside to make more informed decisions for the patient. They will contribute to the development of precision medicine in several key areas.

You will be in charge of the:
- development of new features (implementation of new models, algorithms, metrics, visualizations),
-software maintenance,
-user support and animation of the community.
In addition, you will be presenting the software at international scientific conferences and other events, and you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users.

Diplômes requis : PhD degree or master

Compétences requises : Experience in the field of statistical analysis, Strong programming skills in Python, Experience working with Git/GitHub on open-source projects would be a plus, Excellent relational and communication skills to interact with users and lab members, Good writing skills

Type de structure : Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Contexte et mission : You will work in the context of the project REWIND (pRecision mEdecine WIth longitudinal Data), a multicentric project (Paris, Bordeaux, Lyon, Grenoble, Nice) granted via the “Investissement d’avenir” PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data.The project will allow the development of a new generation of decision support systems, which will help clinicians at the bedside to make more informed decisions for the patient. They will contribute to the development of precision medicine in several key areas.

You will be in charge of the:
- development of new features (implementation of new models, algorithms, metrics, visualizations),
-software maintenance,
-user support and animation of the community.
In addition, you will be presenting the software at international scientific conferences and other events, and you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users.

Diplômes requis : PhD degree or master

Compétences requises : Experience in the field of statistical analysis, Strong programming skills in Python, Experience working with Git/GitHub on open-source projects would be a plus, Excellent relational and communication skills to interact with users and lab members, Good writing skills

Type de structure : Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Contexte et mission : You will work in the context of the project REWIND (pRecision mEdecine WIth longitudinal Data), a multicentric project (Paris, Bordeaux, Lyon, Grenoble, Nice) granted via the “Investissement d’avenir” PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data.The project will allow the development of a new generation of decision support systems, which will help clinicians at the bedside to make more informed decisions for the patient. They will contribute to the development of precision medicine in several key areas.

You will be in charge of the:
- development of new features (implementation of new models, algorithms, metrics, visualizations),
-software maintenance,
-user support and animation of the community.
In addition, you will be presenting the software at international scientific conferences and other events, and you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users.

Diplômes requis : PhD degree or master

Compétences requises : Experience in the field of statistical analysis, Strong programming skills in Python, Experience working with Git/GitHub on open-source projects would be a plus, Excellent relational and communication skills to interact with users and lab members, Good writing skills

Type de structure : Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Contexte et mission : You will work in the context of the project REWIND (pRecision mEdecine WIth longitudinal Data), a multicentric project (Paris, Bordeaux, Lyon, Grenoble, Nice) granted via the “Investissement d’avenir” PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data.The project will allow the development of a new generation of decision support systems, which will help clinicians at the bedside to make more informed decisions for the patient. They will contribute to the development of precision medicine in several key areas.

You will be in charge of the:
- development of new features (implementation of new models, algorithms, metrics, visualizations),
-software maintenance,
-user support and animation of the community.
In addition, you will be presenting the software at international scientific conferences and other events, and you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users.

Diplômes requis : PhD degree or master

Compétences requises : Experience in the field of statistical analysis, Strong programming skills in Python, Experience working with Git/GitHub on open-source projects would be a plus, Excellent relational and communication skills to interact with users and lab members, Good writing skills

Type de structure : Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Contexte et mission : You will work in the context of the project REWIND (pRecision mEdecine WIth longitudinal Data), a multicentric project (Paris, Bordeaux, Lyon, Grenoble, Nice) granted via the “Investissement d’avenir” PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data.The project will allow the development of a new generation of decision support systems, which will help clinicians at the bedside to make more informed decisions for the patient. They will contribute to the development of precision medicine in several key areas.

You will be in charge of the:
- development of new features (implementation of new models, algorithms, metrics, visualizations),
-software maintenance,
-user support and animation of the community.
In addition, you will be presenting the software at international scientific conferences and other events, and you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users.

Diplômes requis : PhD degree or master

Compétences requises : Experience in the field of statistical analysis, Strong programming skills in Python, Experience working with Git/GitHub on open-source projects would be a plus, Excellent relational and communication skills to interact with users and lab members, Good writing skills

• Full-time
• Grade: PAL6

The Organisation for Economic Co-operation and Development (OECD ) is an international organisation comprised of 38 member countries, that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.

The Directorate for Education and Skills (EDU) leads the Organisation’s work to help member and non-member countries achieve high-quality learning for all, design better skills policies, and turn them into jobs and growth. The Directorate carries this out by providing statistics, analysis and policy advice to countries on a wide range of educational topics.

EDU is looking for Policy Analyst(s) to support its education policy analysis, education research and data analysis work. This includes analysis in a range of education policy areas such as early childhood education, teacher policy, equity in education, digital education, higher education, use of resources, adult learning and lifelong learning; international comparative research and development of education indicators; forward-looking and innovative approaches to education and learning; strategies to bridge educational research, innovation and policy development; development of surveys in education; and analysis of complex datasets. Responsibilities include conducting policy analysis and research; undertaking data analysis; assisting countries with the implementation of education policy; mapping what futures could look like and analysing their implications for education; developing conceptual or analytical frameworks for emerging challenges; fostering, supporting and evaluating innovation in education policies and practices; measuring and monitoring the state of education at the system level; preparing reports and publications; and effectively communicating work findings and contributing to EDU’s overall work objectives. The Policy Analyst(s) will work under the supervision of a Senior Analyst and under the direction of a Head of Division within the Directorate for Education and Skills (EDU).

Main Responsibilities

Analysis, data collection and drafting

• Lead the conceptualisation and planning of policy and research analysis, including development of analytical frameworks to structure the analysis.
• Identify, assess and analyse evidence for projects, including research evidence, relevant data and policy documents; synthesise and interpret available evidence; and analyse the policy implications.
• Undertake analysis of national and international datasets (e.g. OECD datasets, labour force surveys, longitudinal surveys, administrative data) as well as other type of information (e.g. questionnaires, country policies and practices, and case studies).
• Assemble and analyse data and information (e.g. questionnaires, country policies and practices and case studies) and where relevant, develop appropriate statistical analysis to strengthen the evidence base.
• Plan and implement consultation exercises with policy makers, educators, practitioners and other stakeholders.
• Identify and apply findings from academic literature, analysis of data and relevant non-academic policy analysis, taking into account its policy relevance and the rigour of its causal inferences.
• Formulate empirically sound policy diagnoses, policy options and technical guidance to inform policy development and implementation, and taking account of country context.
• Draft reports to present evidence, analysis and policy advice. These could include synthesis reports, country reviews, implementation support reviews, highlights reports, topic briefs, case studies, toolkits and working papers.
• Contribute to or lead the organisation of policy dialogue and peer learning activities and the development of tools to assist countries with the design and implementation of their education policies.
• Contribute, as required, to horizontal and multidisciplinary projects and other outputs of the Directorate for Education and Skills and the OECD.

Coordination and project management

• Coordinate or contribute to the coordination of specific projects, including guiding and organizing the analysis conducted in the project, managing relations with national authorities, and organizing field visits.
• Under the supervision of the team leader, lead the preparation of substantive reports and/or working papers, including overseeing the work of contributing authors.
• Supervise junior analysts, temporary and support staff. Set objectives, monitor progress and provide guidance and advice where required.
• Identify and recruit experts for particular tasks to be commissioned externally and supervise their work.
• Contribute to fundraising, negotiate with potential project partners, liaise with external funders, and manage the preparation of grant agreements.
• Lead or contribute to the organisation of seminars, webinars, conferences and workshops, in collaboration with countries.

Representation, liaison and dissemination

• Represent the OECD in relevant international and national settings, delivering presentations and disseminating OECD analysis through relevant channels, including events, webinars, articles, blogs, and other media.
• Ensure effective working relationships with country representatives, agencies and stakeholder groups.
• Establish and maintain professional contacts with leading researchers, policy analysts, and relevant external organisations who can advise and support the work.

Ideal Candidate Profile

Academic Background

• An advanced university degree in economics, education, public policy, social sciences, or a similar discipline.

Professional Background

• Minimum of three and preferably at least five years of professional experience in applied research and/or policy analysis in education or public policy acquired in an international organisation, national administration, university or research organisation, or a consulting organisation or think tank.
• Demonstrated knowledge of education policy issues and education research; and deep expertise in one or more key areas of education policy and research in a cross-national context.
• Demonstrated ability to analyse and interpret quantitative and qualitative information; make rigorous assessments of evidence and its relevance to policy issues; lead conceptual thinking in education; and produce pertinent analysis of policies and practices.
• Experience in quantitative and qualitative techniques used in research, analysis and evaluation in the social sciences (including relevant survey and interview techniques) and in designing and carrying out analyses or evaluations that yield policy-relevant insights; drawing out evidence-based policy implications; and formulating relevant policy recommendations.
• Experience carrying out statistical analysis of data using a range of statistical methodologies would be an advantage.
• Proven ability to write well-structured, concise and clear prose for non-specialist audiences.
• Demonstrated ability to build trust and collaboration with public officials and stakeholder groups, and to organise group learning and development.
• Demonstrated capacity for project planning and leadership, ensuring that projects are relevant to governments, completed with attention to quality, and completed on schedule and budget.
• Ability to build project teams, match skills and expertise with project needs, and mentor staff in a multicultural environment.

Tools

• Practical experience in using standard information technology applications(Microsoft Office Suite) is required. Experience with statistical tools (e.g. R, STATA) would be an asset.

Core Competencies

• OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 2); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
• To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies .

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.
• Knowledge of other languages would be an asset.

Closing Date

• This vacancy should be filled as soon as possible, and applications should reach us no later thanSunday10August2025,23h59(Paris time) .

Contract Duration

• This vacancy willbe used to fill multiple positions. The appointment type will be determined based on the needs of the Directorate and will be confirmed when an offer of employment is made to the selected candidate.
• Monthly salary starts at 7,955.19 EUR, plus allowances based on eligibility, exempt of French income tax.
• Click here to learn more about what we offer and why the OECD is a great place to work.
• Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.
• Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
• This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions.

Selection Process

For retained candidates, the selection process may include a video-recorded interview, job-based assessment and panel interviews.

The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries , irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.

The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.

#J-18808-Ljbffr

I would like to announce an opening for a research engineer position (18 months), at the Laboratoire Jean Perrin (Sorbonne University, Paris), starting in January 2025 at the earliest.

We are looking for a research engineer to participate in a project to develop and improve the DiSTNet2D image analysis tool. This existing tool is used for object detection and tracking in 2D image sequences in the field of life sciences. The objective of this project is twofold: to make DiSTNet2D more accessible to novice users and to develop its capabilities for processing 3D data. This will involve testing the tool, writing comprehensive documentation and extending its functionalities to three-dimensional data.

Best,
Max

Organisation for Economic Cooperation and Development (OECD)

Responsibilities include conducting policy analysis and research; undertaking data analysis; assisting countries with the implementation of education policy; mapping what futures could look like and analysing their implications for education; developing conceptual or analytical frameworks for emerging challenges; fostering, supporting and evaluating innovation in education policies and practices; measuring and monitoring the state of education at the system level; preparing reports and publications; and effectively communicating work findings and contributing to EDU’s overall work objectives.

Main Responsibilities

Analysis, data collection and drafting

• Lead the conceptualisation and planning of policy and research analysis, including development of analytical frameworks to structure the analysis.
• Identify, assess and analyse evidence for projects, including research evidence, relevant data and policy documents; synthesise and interpret available evidence; and analyse the policy implications.
• Undertake analysis of national and international datasets (e.g. OECD datasets, labour force surveys, longitudinal surveys, administrative data) as well as other type of information (e.g. questionnaires, country policies and practices, and case studies).
• Assemble and analyse data and information (e.g. questionnaires, country policies and practices and case studies) and where relevant, develop appropriate statistical analysis to strengthen the evidence base.
• Plan and implement consultation exercises with policy makers, educators, practitioners and other stakeholders.
• Identify and apply findings from academic literature, analysis of data and relevant non-academic policy analysis, taking into account its policy relevance and the rigour of its causal inferences.
• Formulate empirically sound policy diagnoses, policy options and technical guidance to inform policy development and implementation, and taking account of country context.
• Draft reports to present evidence, analysis and policy advice. These could include synthesis reports, country reviews, implementation support reviews, highlights reports, topic briefs, case studies, toolkits and working papers.
• Contribute to or lead the organisation of policy dialogue and peer learning activities and the development of tools to assist countries with the design and implementation of their education policies.
• Contribute, as required, to horizontal and multidisciplinary projects and other outputs of the Directorate for Education and Skills and the OECD.

Coordination and project management

• Coordinate or contribute to the coordination of specific projects, including guiding and organizing the analysis conducted in the project, managing relations with national authorities, and organizing field visits.
• Under the supervision of the team leader, lead the preparation of substantive reports and/or working papers, including overseeing the work of contributing authors.
• Supervise junior analysts, temporary and support staff. Set objectives, monitor progress and provide guidance and advice where required.
• Identify and recruit experts for particular tasks to be commissioned externally and supervise their work.
• Contribute to fundraising, negotiate with potential project partners, liaise with external funders, and manage the preparation of grant agreements.
• Lead or contribute to the organisation of seminars, webinars, conferences and workshops, in collaboration with countries.

Representation, liaison and dissemination

• Represent the OECD in relevant international and national settings, delivering presentations and disseminating OECD analysis through relevant channels, including events, webinars, articles, blogs, and other media.
• Ensure effective working relationships with country representatives, agencies and stakeholder groups.
• Establish and maintain professional contacts with leading researchers, policy analysts, and relevant external organisations who can advise and support the work.

Qualifications

Academic Background

• An advanced university degree in economics, education, public policy, social sciences, or a similar discipline.

Professional Background

• Minimum of three and preferably at least five years of professional experience in applied research and/or policy analysis in education or public policy acquired in an international organisation, national administration, university or research organisation, or a consulting organisation or think tank.
• Demonstrated knowledge of education policy issues and education research; and deep expertise in one or more key areas of education policy and research in a cross-national context.
• Demonstrated ability to analyse and interpret quantitative and qualitative information; make rigorous assessments of evidence and its relevance to policy issues; lead conceptual thinking in education; and produce pertinent analysis of policies and practices.
• Experience in quantitative and qualitative techniques used in research, analysis and evaluation in the social sciences (including relevant survey and interview techniques) and in designing and carrying out analyses or evaluations that yield policy-relevant insights; drawing out evidence-based policy implications; and formulating relevant policy recommendations.
• Experience carrying out statistical analysis of data using a range of statistical methodologies would be an advantage.
• Proven ability to write well-structured, concise and clear prose for non-specialist audiences.
• Demonstrated ability to build trust and collaboration with public officials and stakeholder groups, and to organise group learning and development.
• Demonstrated capacity for project planning and leadership, ensuring that projects are relevant to governments, completed with attention to quality, and completed on schedule and budget.
• Ability to build project teams, match skills and expertise with project needs, and mentor staff in a multicultural environment.
• Tools
• Practical experience in using standard information technology applications (Microsoft Office Suite) is required. Experience with statistical tools (e.g. R, STATA) would be an asset.

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.
• Knowledge of other languages would be an asset.

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