Jobs at Procter & Gamble

Build and operate scalable scientific data pipelines and services integrating laboratory, OMICS, imaging, assay, formulation, consumer, and performance data. Implement metadata, provenance, versioning, identity resolution, access, semantic, and data-quality controls. Develop interfaces connecting repositories, knowledge graphs, analytical tools, computational models, and AI workflows. Monitor reliability, availability, dependencies, and performance while resolving bottlenecks and providing operational support for trusted analytical data foundations.

Lead the design, evaluation, deployment, and scaling of predictive Bio-AI models, multi-agent scientific workflows, RAG systems, and LLM applications. Build evaluation frameworks and production controls for model versioning, observability, monitoring, CI/CD, access control, auditability, and human review. Partner with scientists, bioinformaticians, and data engineers to transform scientific workflows into reliable AI capabilities and improve them through experimental feedback.

Develop AI-driven methods for skin and scalp biology discovery, integrating multimodal biological datasets to generate predictive insights. Build Design-Build-Test-Learn workflows, analyze imaging, omics, phenotypic, screening, and experimental data, and collaborate with experimental scientists to translate biological questions into computational models. Contribute to an AI-enabled discovery platform supporting autonomous and predictive scientific research.

Design and execute experiments in skin and scalp biology, generate and analyze complex biological and computational datasets, apply AI-enabled discovery and modeling, collaborate with multidisciplinary teams, and communicate findings to drive actionable hypotheses and new experimental approaches.

Support consumer-products R&D through hands-on experimentation, standardized testing, and data analysis to solve technical problems across formulation, microbiology, analytical sciences, process and packaging development, modeling, and engineering. Deliver technical outputs and milestones during a full-time 6-month internship starting January 2027.

PhD-student internship to perform hands-on R&D across formulation, biosciences, analytics, and product development. Interns solve real technical problems, deliver experimental outputs, and progress innovation milestones across multiple technical areas over a six-month full-time placement.