Healthcare AI Research Intern — Causal ML & Outcomes

Doctolib; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

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.