Postdoc, Autonomous Discovery & the AI Life Science Platform (2-year Fixed Term)
Core
Architecting a digital-first AI-enabled scientific discovery engine for skin and scalp health by integrating multimodal biological data, predictive models, and experimental systems.
Role type
Postdoctoral Research Scientist (AI for Science / Autonomous Discovery)
Builds
Integrated AI-biology discovery platforms and continuously learning experimental systems
Domain
Life Sciences / AI for Science / Consumer Health (Skin & Scalp)
Deliverable
production ML models | research | infrastructure
Required skills
AI for Science, Machine Learning for Life Sciences, Multimodal biological data integration, Predictive modeling of biological systems, Design-Build-Test-Learn architectures, Closed-loop experimental learning systems, Foundation models, Knowledge graphs, Agentic AI, Data architecture for biological research
Preferred skills
AI-enabled discovery platforms in life sciences, Design-Build-Test-Learn systems, Computational architectures for hypothesis generation, Multimodal foundation models, Active learning, Causal inference, Bayesian optimization, Scalable data pipelines
Technologies
AI, Machine Learning, Multimodal data, DBTL, Foundation models, Knowledge graphs, LLMs, Agentic AI, Cloud platforms
Responsibilities
Pioneer new scientific frameworks for biological performance and health, Design and execute high-impact research programs leveraging AI and advanced biology, Shape scientific strategy alongside global leaders, Operate within a Design-Build-Test-Learn environment, Translate discoveries into publications, IP, and technology opportunities
