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Experience
Experienced
About the role
This role leads the creation, testing, rollout and scaling of predictive Bio-AI and integrated consumer data models plus multi-agent workflows. Based at the Singapore Innovation Center in Biopolis, you will report to a local R&D Director and join a growing group of functional and technical specialists running regional projects. It suits someone with strong Python engineering and hands-on delivery of AI, machine learning or data solutions who can turn scientific workflows into governed AI capabilities.
What you'll do
Design multi-agent scientific workflows for evidence retrieval, hypothesis generation and evaluation, mechanistic reasoning, experiment planning and decision support
Scientist Manager, Bio-AI & ML Ops job at P&G, Singapore | WorkJio
Build RAG and Graph-RAG solutions across approved internal and external sources such as biological databases, scientific literature, patents, ChEMBL, supplier data and formulation knowledge
Enable agents to use internal databases, APIs, simulation tools, OMICS pipelines, dashboards and scientific models
Partner with scientists, bioinformaticians and data engineers to translate scientific workflows into agent-ready tasks and tools
Evaluate and apply emerging methods in agentic AI, AI Scientist systems, biological foundation models and AI Co-Scientist architectures
Implement production controls for model, agent, prompt and workflow versioning, observability, tracing, CI/CD, access control, monitoring and auditability
Convert pilots into reliable, reusable platform capabilities and scale validated workflows across programs
Build closed learning loops using experimental outcomes and scientist feedback to improve models, agents and predictions
Good to know
Full-time schedule
Located at the P&G Singapore Innovation Center at Biopolis
Reports to a locally based R&D Director
Part of a growing regional team of functional and technical experts
Requirements
Bachelors, Masters or PhD in Data Science, Bioinformatics, Computational Biology, Biostatistics or a related field
Strong Python engineering skills
Hands-on experience delivering AI, machine-learning or data solutions
Experience developing and deploying predictive models, LLM applications, retrieval systems or agentic workflows
Experience with tool calling, structured outputs, workflow orchestration and agent state or memory
Experience designing evaluation approaches for machine-learning, LLM or agentic AI systems
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