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Augment radiologists with artificial intelligence

Data Scientist

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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 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.

We are looking for a passionate and talented Data Scientist with expertise in machine learning. Leveraging our rich proprietary databases in a fruitful way is a challenge that requires creativity as well as thoroughness. Most critically, we believe that an acute critical spirit is an imperative, as far as you’ll be working on data and algorithms that will eventually impact 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 AI engineers, developers, and medical doctors.

Main responsibilities:
- Build various and rich datasets, analyze their soundness as well as ex post algorithmic results.
- Develop heuristics, ML, NLP methods to efficiently leverage the textual information of our large databases.
- Take part, side by side with developers, in extending our powerful data management and labeling platform.
- Oversee large scale labeling process, owning data reliability.
- Stimulate reflection on good labeling practices, with the ultimate aim to enhance algorithms.
- Implement and iteratively refine recent machine learning and deep learning approaches to tackle identified problems.

Requirement:
- Passionate about working on data and algorithms.
- Strong expertise querying, processing, visualizing and cleaning large and complex datasets, whether it be images or textual data.
- Sound background in mathematics and machine learning.
- Deep awareness of the stakes of machine learning reliability, especially concerning deep convolutional networks.
- Excellent command of Python (+ ML & data libraries) and Java, experience with no SQL databases.

Gleamer at a glance

Augment radiologists with artificial intelligence

Gleamer focuses on Healthcare, Artificial Intelligence, and Software Engineering. Their company has offices in Paris. They have a small team that's between 11-50 employees.

You can view their website at http://www.gleamer.ai

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