AI in Residence

📋 Description

• Develop ML models for biological data (omics, imaging, text, assays)
• Build scalable data pipelines for curation, training, evaluation, and inference
• Own projects from problem framing to deployment
• Evaluate robustness, uncertainty, and interpretability to support decisions
• Provide technical leadership by proposing new directions and raising standards

🎯 Requirements

• Strong research judgment and independence
• Publications, open-source work, or shipped systems
• Ability to lead substantial technical work with originality
• Motivation to translate rigorous research into deployable AI
• Background in ML/AI, computational biology, or biomedical engineering

🎁 Benefits

• Mentorship from senior AI, engineering leadership
• Structured feedback and technical mentorship
• Publications and conference presentation support
• Small, highly selective cohort
• Impactful work on real discovery programs