Scientist Manager, AI - Skin Bioscience Discovery Accelerator

About the role

P&G's Skin Bioscience Discovery Accelerator (SBDA) at the Singapore Innovation Center combines human biology, multimodal data generation, next-generation experimental platforms and AI-powered discovery to turn biological performance into measurable, predictable and actionable results. The Scientist Manager leads the design and improvement of AI-enabled scientific workflows that connect biological understanding, data generation, modeling and experimental validation, working at the intersection of biology and artificial intelligence.

Key responsibilities

• Design and improve Design-Build-Test-Learn (DBTL) multi-agent scientific workflows linking biological understanding, data generation, modeling and experimental validation.
• 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.
• Work closely with experimental scientists and technology teams to turn biological questions into computational frameworks and model-driven discovery experiments.
• Contribute to the development of the SBDA's AI-enabled discovery platform.

Required profile

• Bachelor's, Master's or PhD in Data Science, Bioinformatics, Computational Biology, Biostatistics or a related field, with experience in applied AI.
• 3-5 years of relevant experience; experience in AI for life/biological sciences is ideal.
• Experience in skin and hair follicle biology preferred.
• Experience in biological foundation models, multimodal scientific AI, active learning or AI Co-Scientist systems preferred.
• Passion for experimentation and solving difficult technical problems, strong innovation mindset and track record of developing new ideas, technologies or methods.
• Excellent communication and collaboration skills, strong execution and a bias for action.