Medical imaging is one of the fastest growing fields in machine learning. We are looking for an enthusiastic, dynamic, and organized Data Scientist with strong ML and Computer Vision experience, excellent communication skills who will thrive at the heart of technological innovation with strong societal impact.Position under the supervision of Artificial Intelligence and Data Science Director.

Responsibilities:•

 You will apply your AI/ML/Deep Learning knowledge to develop innovative and robust biomarkers using data coming from medical imaging systems such as MRI and CT scanners and any other relevant data sources.• You will take the initiative to improve SOTA (state of the art) neuronal networks or design new approaches, supervised or not, you will motivate and explain your choices. You are methodical for driving your experiments, clear and synthetic for reporting. You can analyze the failures and adapt your strategy accordingly.• Exploiting the imaging and clinical data databases generated by our medical research and pharmaceutical industry partners, you will be able to create medical value for the patients. These AI enabled systems and services go beyond image analysis to transform medical practice and drug development.• Being part of our front-end innovation organization, you will actively scout, keep track of, evaluate, and leverage disruptive technologies, as well as the emergence of new industrial, academic, and technological trends.• You will work in collaboration with iBiopsy’s software development team as well as clinical science team.• In addition, you will transfer technology, and share insights and best practices across innovation teams. You will generate intellectual property for the company. You will be expected to author peer reviewed papers, present results at industry/scientific conferences.

Education: 

PhD in in Mathematics, Computer Science or related fieldsMain skills and Experience required:• Minimum 3 years of relevant work experience in (deep) machine learning• Mandatory experience in computer vision, image or video (object detection, classification)• Strong methodology for databases content analyze and selection• Expertise in data and results visualization• Experience on medical images (biology, CT-scan, MRI) is a strong asset• Experience on big data management, structured or not, and CBIR is a plus• Relevant experience with Python, DL frameworks (i.e., Pytorch) and standard packages such as Scikit-learn, Numpy, Scipy, Pandas, Matplotlib, Seaborn, Plotly• Experience desired in Semi-Supervised Learning, Self-supervised Learning, Reinforcement Learning, Adversarial methods.• Extraction of multimodal feature extraction• Author on related research publication / conferences• Solid experience with opensource technologies to accelerate innovation

Required knowledge:

• In-depth technical knowledge of AI, deep learning and computer vision• Strong fundamental knowledge of statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques and dimensionality reduction

Additional skills:• 

Strong interpersonal, communication and presentation skills as well as ability to work in global team and organize work• Fluent in written and oral English