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We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.
Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.
As a software engineer in our Data Onboarding Team (Polaris), you will be at the forefront of transforming raw clinical data into powerful insights and training data for our machine learning pipelines. Working alongside scientists, engineers, and clinical partners, you will take charge of streamlining data onboarding pipelines and shape the way we integrate and scale critical medical data. With a focus on impact, you’ll drive projects that enhance our platform’s capabilities, from curating complex datasets to ensuring our infrastructure is ready for cutting-edge analytics and discovery.
This is a unique opportunity to join a fun, diverse, and growing team of 100+ data scientists, software developers, biologists, and pathologists to shape the next generation of cancer treatments. You will be part of a driven community that works in an agile, supportive and interdisciplinary research environment where your results make a difference to patients. In our established startup you have the opportunity to grow personally and technically, take responsibility and benefit from a dynamic work environment.
At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.
We are still keen to hear from you if you don't match all the above bonus points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.