Lead Scientist: Bio-AI & ML Ops Architect

Procter & Gamble; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Procter & Gamble in Singapore invites you to lead the design, development, evaluation, deployment, and scaling of predictive Bio-AI and integrated Consumer data models and multi-agent workflows. You will transform trusted data, scientific knowledge, and domain tools into governed AI solutions that guide experimentation and accelerate cross-OU decisions.

Based at the Biopolis Innovation Center, you will collaborate with scientists, bioinformaticians and data engineers to translate scientific

Qualifications

• Strong Python engineering and hands-on experience delivering AI/ML solutions.
• Experience developing and deploying predictive models, LLM applications, retrieval systems, or agentic workflows.
• Familiarity with APIs, cloud deployment, containers, CI/CD, monitoring, and ML Ops or LLM Ops.

Responsibilities

• Build Predictive and Agentic AI Solutions.
• 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 approved internal and external sources, including 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.
• Deploy, Validate, and Scale AI Capabilities
• Establish 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, 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.

Skills

Python

AI/ML solutions

Retrieval systems

Agentic workflows

APIs & cloud

CI/CD

Education

Data Science / Bioinformatics / Computational Biology (BSc/MSc/PhD)

Tools

Cloud deployment

Containerization

CI/CD tooling

Monitoring & ML Ops/LLM Ops

Job description

Procter & Gamble in Singapore invites you to lead the design, development, evaluation, deployment, and scaling of predictive Bio-AI and integrated Consumer data models and multi-agent workflows. You will transform trusted data, scientific knowledge, and domain tools into governed AI solutions that guide experimentation and accelerate cross-OU decisions.

Based at the Biopolis Innovation Center, you will collaborate with scientists, bioinformaticians and data engineers to translate scientific