Clinical AI Research Scientist

EngineersOfAI; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Doctolib is seeking a Research Scientist to join the Doctolab team, aiming to build calibrated, clinically reliable models from health data at scale. The role blends fundamental research with product impact, publishing results and deploying models used by doctors and patients across Europe.

We value a PhD in ML or related fields, strong publication records, and proficiency in Python/PyTorch. Healthcare data experience is a plus; early-career and experienced researchers are welcome.

Qualifications

• PhD in ML, statistics, CS or related field (or Master’s with strong research).
• First-author publications at leading venues or comparable medical informatics venues.
• Proficiency in Python and a DL framework (PyTorch) with trained models.
• Experience with healthcare or medical data is a plus.

Responsabilités

• Build accurate, calibrated, clinical-grade models from health data at scale.
• Publish results and evolve lab research into products used by clinicians.
• Collaborate with data science and product teams to translate research to features.
• Lead and participate in open collaborations, challenges, benchmarks, and releases.
• Help define the lab's research agenda and alignment with Doctolib.
• Present and defend research questions and their impact on patients and practitioners.

Connaissances

PhD in ML

Python & PyTorch

Research leadership

Strong publication record

Formation

PhD in machine learning or related field

Master's with significant research experience

Outils

PyTorch

Python

Hugging Face / ML libraries

Description du poste

Doctolib is seeking a Research Scientist to join the Doctolab team, aiming to build calibrated, clinically reliable models from health data at scale. The role blends fundamental research with product impact, publishing results and deploying models used by doctors and patients across Europe.

We value a PhD in ML or related fields, strong publication records, and proficiency in Python/PyTorch. Healthcare data experience is a plus; early-career and experienced researchers are welcome.