We are a Hamburg, Germany-based startup dedicated to democratizing cancer diagnostics. By leveraging artificial intelligence, we enhance pathologists' ability to identify cancer quickly and accurately. Our AI solution is the first to be implemented in clinical histopathology for primary diagnostics in the USA.
We address a critical challenge in modern healthcare: the growing demand for medical image analysis amid a static number of cancer experts. Utilizing state-of-the-art deep learning, we develop support tools for visual diagnosis that enable cancer experts to deliver reliable results and concentrate on areas where human expertise is essential. Optimizing cancer diagnostics with machine learning is complex and demands top-tier talent. At Mindpeak, you'll collaborate with industry leaders in deep learning, pathology and entrepreneurship.We offer:
The opportunity to bring cancer diagnostics to a whole new level.
An open and creative work environment.
Flat hierarchies and quick decision-making processes.
Knowledge exchange and close collaboration with skilled colleagues in a highly motivated international team, supported by an experienced management team.
Engaging and diverse tasks and projects to develop your skills and expertise.
A centrally located office with a captivating view of the Hamburg harbor.
Want to be on board?
Send your application (including curriculum vitae, university certificates, transcripts of records and job references) as Full-Stack Developer with your salary expectations and earliest possible starting date to jobs@mindpeak.ai.
Contact Christine Stamer with questions: christine.stamer@mindpeak.ai.
Find more information about Mindpeak at www.mindpeak.ai. Join our network on XING or LinkedIn!As aSoftware Developer specializing in Python, you will play a pivotal role in our development team, driving the creation of our lab tools and shaping our technologies from the ground up. Digital pathology presents significant challenges, such as managing large images with file sizes of several gigabytes and dimensions of 100,000 x 100,000 pixels. You will for example work on solutions to efficiently stream these images using an advanced image server.
At Mindpeak, the machine learning team develops AI models, while the development team ensures these models are efficiently served as APIs for various stakeholders. As part of the dev team, you will be responsible for improving our backend and frontend systems, collaborating closely with your machine learning colleagues.
A robustly engineered product is crucial to our mission of making pathology accessible worldwide. You will report directly to our VP of Engineering.