Scientist Manger, AI - Skin Bioscience Discovery Accelerator
Core
Design and improve multi-agent scientific workflows connecting biological understanding, data generation, modeling, and experimental validation for skin and scalp science discovery.
Role type
Senior Manager, AI Scientist (Skin Bioscience)
Builds
AI-enabled discovery platform for skin and scalp biology
Domain
Consumer goods / Life Sciences / Artificial Intelligence
Deliverable
production ML models
Required skills
Applied AI, DBTL workflows, agentic AI, biological foundation models, multimodal scientific AI, active learning, AI Co-Scientist architectures, experimental design, hypothesis generation, mechanistic reasoning
Preferred skills
Skin and hair follicle biology, biological foundation models, multimodal scientific AI, active learning, AI Co-Scientist systems
Technologies
OMICS pipelines, simulation tools, internal databases, APIs, dashboards
Responsibilities
Design and improve Design-Build-Test-Learn (DBTL) multi agent scientific workflows; Enable agents to use internal databases, APIs, simulation tools, OMICS pipelines, dashboards, and scientific models for evidence retrieval, hypothesis generation and evaluation, mechanistic reasoning, experiment planning, and decision support; Evaluate and apply emerging methods in agentic AI, AI Scientist systems, biological foundation models, and AI Co-Scientist architectures; Collaborate closely with experimental scientists and technology teams to translate biological questions into computational frameworks and model-driven discovery experiments; Contribute to the development of the Skin Bioscience Discovery Accelerator's AI-enabled discovery platform, helping create next-generation capabilities
Seniority
Senior, hands-on IC with management responsibilities
