Healthcare AI Research Intern — Causal ML & Outcomes
Doctolib
Paris
Hybride
EUR 60 000 - 80 000
Plein temps
Aujourd’hui
Soyez parmi les premiers à postuler
Résumé du poste
A leading research institution is seeking an M2 Intern to join their PreMeDICaL team in Paris. This 6-month internship will involve developing causal frameworks for evaluating AI in healthcare settings. Candidates should be enrolled in an M2 program and possess knowledge in machine learning and statistical inference, along with a strong interest in medical applications. This position offers hybrid work options and various benefits, including lunch vouchers and public transportation reimbursement.
Prestations
Flexible workplace policy
Lunch voucher with Swile card
Work Council subsidy
Reimbursement of public transportation
Qualifications
Solid foundation in machine learning and statistical inference.
Interest in medical applications and real-world impact of AI.
Rigorous approach to research.
Responsabilités
Develop causal frameworks for evaluating AI.
Analyze AI predictions' influence on clinical decisions.
Collaborate on concrete use cases.
Contribute to theoretical research on AI deployment.
Publish results in top-tier scientific journals.
Connaissances
Machine learning
Statistical inference
Interdisciplinary collaboration
AI applications in healthcare
Fluent English
Formation
Currently enrolled in an M2 program
Outils
Python
R
Description du poste
A leading research institution is seeking an M2 Intern to join their PreMeDICaL team in Paris. This 6-month internship will involve developing causal frameworks for evaluating AI in healthcare settings. Candidates should be enrolled in an M2 program and possess knowledge in machine learning and statistical inference, along with a strong interest in medical applications. This position offers hybrid work options and various benefits, including lunch vouchers and public transportation reimbursement.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.