Senior Research Scientist

Role overview

A senior research scientist role advancing machine learning for medical imaging, with emphasis on foundation models in radiology AI. The position blends novel architecture design, experimental validation, and translational work that supports clinical applications. It involves collaboration with academic research partners and cross-functional engineering teams to convert research insights into deployable solutions.

Responsibilities

- Define and drive the scientific roadmap for foundation models in multimodal medical imaging - Track and synthesize advances in machine learning and generative AI relevant to radiology - Design and prototype novel model architectures for multimodal medical imaging data - Build experimental systems that validate hypotheses and quantify progress against research goals - Establish benchmarking frameworks spanning downstream clinical and technical tasks - Partner with engineering teams to translate research into production-ready systems - Lead scientific publications and conference contributions communicating results - Mentor researchers and uphold research quality standards within the team

Requirements

- PhD in Machine Learning, Computer Science, or a closely related field - Strong publication record at top venues such as NeurIPS, ICML, or ICLR - Deep expertise in deep learning and generative models - Hands-on experience designing and evaluating machine learning systems - Solid documentation habits and a commitment to reproducibility

Nice to have

- Experience in medical imaging or healthcare AI - Familiarity with multimodal learning approaches - Background mentoring researchers or leading projects

Benefits and work setup

- Hybrid or remote working environment - Up to 10% domestic and international travel for collaboration and conferences - Engagement with external academic research partners