Research Engineer - Optimization

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 (RER B Port- Royal) et vous rejoindrez une équipe passionnée, dynamique et internationale (10 nationalités différentes).

TheraPanacea is an innovative startup that offers AI solutions for radiotherapy to help humanity in the fight against cancer.

We are looking for a research engineer to join our team and help our efforts to develop state-of-the-art dose optimization algorithms (in other words, inverse planning methods) that are essential building blocks of a radiotherapy treatment planning system. Advanced treatment methods (e.g., IMRT and VMAT) require solving high dimensional optimization problems that include dose constraints for the patient and mechanical constraints of the machine.

A successful applicant has a strong background in classical mathematical optimization and is a skilled computer scientist. He or she possesses the ability to understand and implement scientific papers, especially regarding optimization techniques for inverse radiotherapy planning and developing robust algorithms that can handle the variability in real world cases.

Required qualifications:

• PhD or MSc/MEng in computer science, mathematics or engineering.
• Proven track record of working on state of the art optimization algorithms
• Proficient in python or C++
• Excellent analytical skills
• Motivation for excellence
• English at a conversational level (international team).

Additional qualifications:

• Experience in radiotherapy
• Experience with GPU programming and its usage for optimization algorithm

Multiple interviews.