Related skills
nlp machine learning📋 Description
- Operate at the intersection of clinical science and AI.
- Collaborate with engineers on text generation and agent systems.
- Develop evaluation frameworks for clinical AI performance.
- Run experiments and prototypes to test ideas.
- Apply statistical rigor to product decisions.
- Translate clinical insight into measurable product gains.
🎯 Requirements
- MD with postgraduate clinical experience.
- PhD with high-quality research output and data analysis.
- Move between clinical reasoning and quantitative thinking.
- Love data, statistics, and scientific inquiry.
- Curiosity about technical systems; humility to learn.
- Comfort with ambiguity; openness to agentic coding.
🎁 Benefits
- Collaborative, mission-driven culture focused on impact.
- Opportunities to publish and engage with the scientific community.
- Open-source contributions and conference presence.
- Diverse and inclusive team environment.
- Work with cutting-edge healthcare AI.
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