Scientist Manager, Bio-AI & ML Ops
Procter & Gamble8 days ago
Singapore, SingaporeStaff+
Responsibilities
- Design multi-agent scientific workflows for evidence retrieval, hypothesis generation and evaluation, mechanistic reasoning, experiment planning, and decision support.
- Build RAG and Graph-RAG solutions across biological databases, scientific literature, patents, 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.
- Develop evaluation frameworks covering predictive performance, task success, evidence quality, provenance, hallucination risk, reasoning quality, reproducibility, and human-review outcomes.
- Implement production controls for model, agent, prompt, and workflow versioning, observability, tracing, 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.
Requirements
- Bachelor’s, Master’s, or PhD degree in Data Science, Bioinformatics, Computational Biology, Biostatistics, or a related field.
- Strong Python engineering skills and 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.
- Familiarity with APIs, cloud deployment, containers, monitoring, and ML Ops or LLM Ops.
- Preferred experience with RAG, Graph-RAG, vector databases, tool-use architectures, and agent orchestration.
- Preferred experience with biological, chemical, OMICS, assay, formulation, performance, or consumer data.
- Preferred familiarity with scientific knowledge graphs, ontologies, pathway databases, literature and patent mining, or ELN/LIMS integration.
- Preferred experience with human-in-the-loop and traceable decision systems, or exposure to biological foundation models, multimodal scientific AI, active learning, or AI Co-Scientist systems.
Benefits
- Full-time role located at P&G’s Singapore Innovation Center at Biopolis.
- Opportunity to work with functional and technical experts on regional projects and cross-OU innovation.
- P&G states that it provides equal employment opportunities and is committed to an inclusive workplace.
Tech Stack
Categories
About Procter & Gamble
Procter & Gamble is a global consumer packaged goods company that makes and sells household, personal care, and hygiene products through retailers and e-commerce. Its portfolio includes brands such as Pampers, Tide, Gillette, Oral-B, and Pantene, serving consumers worldwide. Founded in 1837 and headquartered in Cincinnati, Ohio, P&G is a public company listed on the NYSE under the ticker PG.