Staff Machine Learning Research Scientist (d/f/m)

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 $50M 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 Staff Machine Learning Research Scientist at Aignostics, you will play a crucial role in shaping the scientific and technical direction and integrity of our data science platform, projects, and products. You will work hand in hand with our collaborators in academia and industry to push the state of the art for digital pathology. Your expertise will be instrumental in driving scientific and technical excellence across all data science teams, ensuring we deliver high-quality, scalable solutions that transform complex biomedical data into actionable insights for cancer research and diagnostics..

This is a unique opportunity to join a fun, diverse, and growing team of 100+ machine learners, software engineers, applied scientists, pathologists, and biologists 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 on significant responsibilities, and benefit from a dynamic work environment.

Data Science or Machine Learning? We do both at Aignostics, and are convinced that both are needed for success. You can expect to work on a broad spectrum of topics from deep learning with foundation and other state-of-the-art models on terabytes of data to projects in low sample regimes and very high-dimensional and multimodal data. We have nearly all the data science challenges you can think of for you! 

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.

1. You identify promising new directions based on the scientific literature, results from in-house experiments, and your own novel ideas.
2. You are able to turn these ideas into reality by describing, presenting, designing, implementing, and experimenting with novel machine learning architectures, models, and variants of existing models
3. You analyze experiments that you and others run, and form ideas and hypotheses to explain results
4. You run large-scale distributed machine learning experiments
5. You work with the Staff Data Science team and with other teams involved in machine learning and translational research
6. You resolve technical difficulties that arise as part of the data science and machine learning work
7. You develop ideas about our data science and machine learning strategy, and how this relates to business objectives, so as to provide a competitive advantage
8. You develop ideas about product management on technical and scientific feasibility and risks of complex product features
9. You contribute to technical and scientific design, planning, and integration of our platform across systems and algorithms
10. You provide technical and scientific guidance in data science model, algorithm, and system design reviews
11. Educate mid-level and junior ML researchers and data scientists to bring them up to the next level
12. Demonstrate long-term thinking and utmost technical and scientific excellence in your individual contributions
13. Support data science teams in maintaining up-to-date, high-quality documentation and code

1. Demonstrated research excellence, as demonstrated by your scientific track record: peer-reviewed publications in relevant journals and at relevant conferences
2. Proven track record of driving technical and scientific excellence and innovation 
3. Expertise in: pathology machine learning, foundation models, and robust medical machine learning models
4. Deep understanding of what it means and takes to apply machine learning in the medical domain
5. Extensive knowledge and understanding of relevant deep learning models
6. Knowledge of the medical and/or biological domain is a highly valuable additional qualification
7. Excellent communicative skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
8. You are a team player who gets enthusiastic when your contributions drive the team ahead
9. Extensive experience with designing, setting up, running, monitoring and evaluating (i) large-scale distributed machine learning trainings, (ii) multimodal machine learning, or (iii) robust machine learning products; 6+ years of experience with this
10. Advanced degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field that provides sufficient technical background to perform state of the art machine learning research
11. Extensive experience with machine learning and statistical concepts, including advanced topics such as self-supervised learning, foundation models, representation learning, explainable AI (XAI), multimodal models
12. Knowledge and routine application of best practices in software engineering, software architecture, and clean coding
13. Solid understanding of cloud technologies (GCP, AWS), containerization and orchestration (Kubernetes, Ray)

1. Contribute to open-source projects and scientific publications
2. Have experience with large scale data processing systems such as Ray, Spark, etc.
3. Extensive expertise in multiple programming languages and frameworks is a plus
4. Worked in a regulated environment, e.g. financial services, aerospace, or healthcare
5. Have knowledge of digital pathology or medical imaging
6. Have experience with biomedical data processing and analysis

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 a strong combination of these skills.

1. Join a purpose-driven startup: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
2. Cutting-edge AI research and development, with involvement of Charité, LMU Munich, TU Berlin, and our other partners
3. Work with a welcoming, diverse, and highly international team of colleagues
4. Opportunity to take significant responsibility and grow your role within the startup
5. Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes and internal development programs
6. Mentoring program, where you'll learn from and mentor great experts
7. Flexible working hours and teleworking policy
8. Enjoy your well-deserved time off with 28 paid vacation days per year
9. We are family & pet friendly and support flexible parental leave options
10. Pick a subsidized membership of your choice among public transport, sports, and well-being
11. Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment