TheraPanacea est une start-up dans le domaine des technologies médicales qui exploite l‘intelligence artificielle, l’imagerie médicale et les mathématiques avancées pour révolutionner la prise en charge du cancer.
Créée en 2017, TheraPanacea a reçu plusieurs prix nationaux et internationaux récompensant l’innovation et l’excellence scientifique de ses produits et projets dont le prix européen de la Recherche (European Research Council grant) en 2016 et en 2018 le 1er Prix du Paris Région AI Challenge.
Ses bureaux sont situés au cœur de Paris (bassin de l’Arsenal) et vous rejoindrez une équipe passionnée, dynamique et internationale (15 nationalités différentes).
TheraPanacea, an award-winning medical technology company created in 2017, is reinventing healthcare through harnessing AI to develop cutting-edge software to optimize diagnostics, prognostics and therapies for cancer and other complex diseases.
We offer pioneering holistic approaches for cancer research and treatment based on a multi-scale integration of medicine, information theory, data curation and computational medicine.
At TheraPanacea we are devoted to unlock the unlimited power of AI-based software to drive innovation in healthcare. Endowed with an excellent IP portfolio, our vision is to exploit state-of-the-art research technology to accelerate health care’s transition towards predictive, evidence-driven, adaptive treatment planning and delivery.
Our mission is to improve patient’s quality of life by enabling health care providers to design smarter treatment plans, work more effectively, and reduce toxic side effects. To bring these much needed advancements faster to the patient, we count on a multitude of collaborations with leading cancer centers and industrial partners all around the world.
For more information about the company please visit https://www.therapanacea.eu/.
You will be part of the Machine Learning team mainly working on the following topics :
Your responsibilities would be the following :
En bref
Année de création
2017
Nombre d'employés
80
Âge moyen
33
Turnover
10
Genre
40%
60%