- METHODS team of the Centre of Research in Epidemiology and StatisticS (CRESS - UMR1153 Université Paris Cité / INSERM)
- Research Field
- Medical sciencesMedical sciences » Medicine
- Researcher Profile
- First Stage Researcher (R1)
- Application Deadline
- Type of Contract
- Job Status
- Hours Per Week
- 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?
The METHODS team of the Centre de Recherche Epidémiologie et Statistiques (CRESS - UMR1153 Université Paris Cité / INSERM) is looking for a group of four post-doctoral fellows to work on the @Hotel-Dieu project (Scientific director: Pr. Philippe Ravaud).
Candidates should have a doctoral degree in clinical epidemiology, statistics, methods research or meta research.
@Hotel-Dieu is an ambitious public-private partnership aimed at developing an interface between public organizations (Assistance Publique - Hôpitaux de Paris and Université Paris Cité) and technology startups (Lifen, Withings, Nouveal, Nabla and Implicity). Its objective is to accelerate the uptake of digital medicine tools, such as biometric wearable devices and AI, in both hospitals and outpatient care. The program received 17 million Euros from the French Public Investment Bank (“Banque Publique d’Investissement” - BPI).
Within the @Hotel-Dieu project, the METHODS team is responsible of an important research program aimed at:
- Improving the development of algorithms in healthcare, especially to ensure their robustness and external validity;
- Conceptualizing a new care model blending digital technologies in the current workflow of physicians and patients, through the use of participative sciences;
- Developing methodological and mathematical tools for real-time personalized care and “Just-in Time Adaptive Interventions”;
- Refining the methods to accelerate and lower the cost of the evaluation of the effectiveness of digital health interventions
The recruited post-doctoral fellows will be part of the METHODS Team of CRESS, located at Hôtel-Dieu hospital in the center of Paris. The team is affiliated to the Université Paris Cité and Inserm (French national health research institute). It offers a dynamic multidisciplinary research environment with four tenured university hospital professors, two tenured INSERM research, one junior professor, two assistant professors, 5 post-docs and about 10 doctoral students.
The following section is specific to a position aimed at designing an identity card for algorithms in healthcare. Algorithms based on artificial intelligence (AI) techniques are about to play a decisive role in the production of medical solutions, whether for monitoring, prevention, diagnosis or therapy. Yet, there are currently no consensus recommendations for evaluating the performance of AI tools. Numerous pitfalls can undermine the reliability of the claimed performance of AI-based algorithms: the validation methods of statistical models, their robustness, the metrics chosen for performance measurement, the composition of datasets, as well as problems of clinical methodology, which can undermine the transparency, quality or generalizability of results.
The objective of the project is to leverage on an existing scoping review of the key elements to be reported to understand the performance of an algorithm to set-up and conduct a large international Delphi study involving regulators, AI specialists and end-users (researchers / clinicians) to develop the identity card.
For this project, we are looking for a highly motivated candidate with a doctoral degree in clinical epidemiology, statistics, methods research or meta research.
The position is open and to be filled as soon as a suitable candidate will be identified.
- Identification of the elements that should be included in the identity card of algorithms for healthcare (literature search, interviews with stakeholders, etc.)
- Set-up and conduct of a large international Delphi survey with stakeholders (regulators, developers of algorithms, end users, etc.)
- Organization of a consensus meeting to finalize the identity card
- Designing the identity card (organization of the items, graphical presentation, implementation in an online tool)
- Pilot testing the identity card with algorithms provided by partners from the @Hotel-Dieu program
- Knowledge in the development and validation of AI models
- Conduct of systematic reviews, knowledge in reviews of prediction models / AI models
- Conduct of Delphi surveys
- Organizational skills
Education level: Doctoral degree in Clinical Epidemiology statistics, methods research or meta research.
Duration: 24 months (depending on the starting date)
Salary: 2 400 to 2 700 € Net /month depending on experience
How to Apply: Your application should include a cover letter, resume and list of publications, the name, and email address of 2 references – send to firstname.lastname@example.org
- Research Field
- Education Level
- Master Degree or equivalent
Doctoral degree in Clinical Epidemiology statistics, methods research or meta research.
• Knowledge in the development and validation of AI models
• Conduct of systematic reviews, knowledge in reviews of prediction models / AI models
• Conduct of Delphi surveys
• Organizational skills
- Number of offers available
- Postal Code
Where to apply
- 1 place du Parvis Notre Dame
- Postal Code