AI Research Scientist - AI BioDesign

The Allen Institute conducts large-scale, open biological research to advance understanding of the brain, cells, and immune system for improved human health. The AI Research Scientist will invent, develop, and evaluate novel machine learning methods and models for large-scale biological data, translate scientific questions into computational frameworks, and contribute through publications, benchmarks, reusable tools, and cross-disciplinary collaboration.

Responsibilities:

• Develop, train, and evaluate large-scale AI/ML models across diverse biological data types, with attention to scientific relevance and rigor
• Investigate new modeling paradigms – such as representation learning, generative models, foundation models, and multimodal learning – to address open biological research questions
• Translate complex scientific questions into well-posed computational frameworks, experiments, and benchmarks
• Assess model behavior, limitations, and interpretability in scientific contexts, and communicate findings clearly to scientific and technical collaborators
• Design and run experiments at scale, including benchmarking and model analysis, using modern training and evaluation environments
• Build reusable modeling frameworks and reference implementations that accelerate research across teams
• Document methods and support reproducibility and open science practices, including code, data, and benchmark release where appropriate
• Contribute to the broader scientific community through publications, collaborations, conference participation, and methodological work
• Participate in institute-wide initiatives, workshops, and seminars to promote scientific and engineering excellence through technical leadership and cross-disciplinary collaboration