AI Research Scientist

The machine learning team at Vara researches, develops and productionizes high-performance AI models for breast cancer detection from mammography images. This requires solving a multi-view perception problem with an emphasis on AI safety to meet very high performance requirements.

Building on prior work to recognise trustworthy predictions [1], Vara has built a system that surpasses the metrics of individual radiologists via human-AI collaboration [2], and recognises cancers missed by humans enabling earlier detection [3]. With large-scale, prospective testing of the impact on screening system metrics [4], Vara is the established market leader in one of the most advanced public screening systems in the world and has deployed more than a million AI-assisted radiology reads.

Despite clinical metrics being improved by AI in today’s clinical practice already, we aim for perfection and continue to work towards fundamental solutions of AI for healthcare without drawing boundaries between research and engineering.

Exemplary responsibilities:

1. Research, train, evaluate and certify AI models for detecting breast cancer, pushing beyond the published SOTA.
2. Merge medical insights with AI to tailor our models for global needs
3. Validate AI efficacy across diverse datasets, ensuring robust performance.
4. Develop quantitative methods for automated monitoring of models in production.
5. Work with a talented team towards breakthroughs in healthcare AI.