||Data & clinical research scientist
Gleamer develops state-of-the-art Artificial Intelligence algorithms to make a transformative impact in healthcare.
Our first product is an AI-based diagnosis workstation for radiologists to improve their proficiency and productivity. We use cutting-edge deep learning algorithms to help radiologists quickly detecting abnormalities in X-rays with very high sensitivity. Our algorithms aim to prevent most of missed lesions while permitting radiologists to spend more time with their patients.
At Gleamer, you’ll find a dynamic team with a strong company culture. We believe that our team will be the major asset to achieve the profound challenges we address. Alongside this, we have raised 1,5M¤ with top-tier investors, including Elaia Partners and XAnge. We also benefit from the stimulating incubator Agoranov in the heart of Paris.
The Data & clinical research scientist that would take broad responsabilities in two keys aspects of the development of an AI-powered medical device : data assessment and scientific validation. Main responsibilities:
Build and oversee a team of physicians to annotate high standard medical data.
Monitor data quality and integrity. Automate labelling, assessment and cleaning process, leveraging algorithm outputs.
Design protocols of clinical and regulatory studies, supervise and take part to study execution.
Conduct statistical analysis and interpreted algorithmic results. Take part in the writing of the scientific publication.
We are looking for a talented Data & clinical research scientist with a strong scientific background and a real taste for data analysis. Crucially, we believe that an acute critical spirit is an imperative, as far as you’ll be working on medical data that will be the keystone of our algorithmic training and validation process, eventually impacting millions of people. We lay great importance on the ability to communicate and being independent, as you will be implied in a quickly growing structure, working closely with research engineers, doctoral researchers, developers, and medical doctors.
Ph.D. in computer science or experimental sciences (neurosciences, biomedical sciences, experimental psychology) ;
Strong reasoning abilities and attention to detail ;
Track record of publications in top-tier scientific journals and conferences ;
Sound and operational knowledge in statistics ;
Good command of Python, experience with databases ;
Machine learning background/understanding is a plus.
Contact: email@example.com | 06 67 08 92 99