TheraPanacea, a 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 :

• Medical Image generation (e.g. CT generation from MR imaging)

• Medical Image Segmentation (lesions, organs at risk) / linear and deformation registration on multi modality images (CT scans, MRIs, PET scans, etc)

• At TheraPanacea we aim to make the best products based on cutting edge Computer Vision and Deep Learning algorithms. Hence the objective is to make products and science is a means towards this objective. Your role will be to use AI to make the best products that improve cancer care.

Your responsibilities would be the following :

• Research & Development of machine learning methods (including deep learning) on the above mentioned topics

• Research & Development of efficient high performance computing solutions with emphasis on graphics processing units (GPUs)

• Supervision of research and development engineers and research interns on various topics

• Contribution to code review, certification processes, quality & insurance policies, workflow, products specifications & support

• Research paper review, Conference Participation, Research presentations, Scientific articles and patents publication

• MSc/Meng (Bac +5) or PhD (Bac +8) in computer science, applied mathematics or related field

• A PhD and/or at least 2 years experience in a similar field is highly appreciated

• Good programming and problem solving skills (python, c++)

• Excellent knowledge of machine learning, deep learning. An application of these techniques in a medical context would be appreciated

• Hands on experience with at least one of the following machine learning frameworks : scikit-learn, pytorch, tensorflow, jax

• English (International team)