Senior Data Scientist (d/f/m) Large scale Machine Learning

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 Senior Data Scientist in Aignostic's foundation model team you will work on our self-supervised base models. Together with collaborators in academia and industry you will push the state of the art in large-scale machine learning for digital pathology. Within our team of experts on large-scale machine learning and data handling, you will work on improving, benchmarking and extending our family of best-in-class foundations models, bridging image, text and other pathology data modalities. Moreover, using our foundation models you will contribute to developing prototypes for new applications to assist pathologists and generate new insights for improving cancer treatment.
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.

• Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge
• Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images
• Transform proof-of-concept machine learning models into automated, tested and production-ready systems
• Support and mentor junior colleagues
• Clearly communicate your results in internal and external presentations

• Ph.D or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics
• Eagerness to lead initiatives, learn new technologies and excel in a complex space
• Solid theoretical foundations and several years of experience developing novel machine learning techniques
• Experience with developing large-scale self-supervised deep learning models ("Foundation Models") for vision or language applications
• Advanced skills in Python, Linux, cloud computing and machine learning software stacks
• Passion for clean code and high standards for quality assurance
• Ability to independently define, organize and complete research projects 
• Excellent communication and team working skills 
  
  Bonus points for
• Exposure to biomedical data 
• Leadership experience in a research context
• Hands-on experience with developing and integrating Vision Language Models (VLMs)
• Experience in considering Information Security criteria under ISO 27001

We are still keen to hear from you if you don't match all the above 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.

• Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
• Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
• Work with a welcoming, diverse and highly international team of colleagues 
• Opportunity to take responsibility and grow your role within the startup
• Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
• Mentoring program, you’ll learn from great experts
• Flexible working hours and teleworking policy
• Enjoy your well-deserved time off within our 28 paid vacations days per year
• We are family & pet friendly and support flexible parental leave options
• Pick a subsidized membership of your choice among public transport sports and well-being
• Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment

Join us to make a difference!