AI Research Scientist

What you'll do

• Own a research agenda, identify open problems, design experiments, and develop novel AI methods and evaluation approaches.
• Produce research evidence such as publications, patents, and peer-reviewed validation studies; guide and mentor applied AI teams.
• Collaborate with clinical and cross-functional partners on validation and align research with company and patient impact.

What they ask for

• Demonstrated ability to produce novel research and write work to peer-review standards.
• Deep machine learning foundations and expertise in at least one relevant area, such as LLMs, agents, uncertainty, causality, multimodal learning, or clinical AI.
• Strong engineering ability to run experiments at scale.
• Understanding of healthcare validation standards, including external validation, prospective evaluation, data governance, and real-world deployment constraints.

Nice to have

• First-author publications at top technical or clinical AI venues.
• Experience in research teams, clinical collaboration, IRB processes, clinical data governance, or healthcare model validation.

Pay

$160K – $220K USD base salary

Tools

LLMs

AI focus

Advances AI research for healthcare, including novel methods, architectures, training and evaluation techniques, and clinically rigorous validation; translates research into production systems.