P&G Intl Operations SA · Workday · 1mo
Postdoc, Energy + Chemistry as Programmable Biology (2-year Fixed Term)
Singapore, West- Posted
- 2026-08-16 (1mo)
- Place
- Singapore, West
- Commitment
- Full Time
- Education
- PhD
- Source
- Workday (the employer’s own listing)
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Skills in this posting
Machine LearningArtificial IntelligenceIntellectual PropertyData science
Job Location
SINGAPORE TC-BIOPOLIS
Job Description
About the role
What if your science could improve the lives of billions of people, every day, across every stage of life? Skin and scalp biology is one of humanity's most universal and enduring dimensions of health and wellbeing. It accompanies us from infancy through adolescence, adulthood, and healthy aging, shaping how we protect and care for ourselves and our loved ones.
The scientific challenges are equally diverse and compelling: supporting skin barrier health in early life, understanding the biological transitions of puberty, enabling superior shaving, grooming, and body care experiences, addressing lifelong scalp disorders such as dandruff, combating hair loss, understanding the biological impacts of menopause, and ultimately unlocking healthier skin and scalp aging throughout longer lifespans. New interventions such as GLP-1 therapies, regenerative medicine approaches, and hair transplantation are further transforming consumer needs and creating unprecedented opportunities for scientific discovery and innovation.
The launch of the Skin Bioscience Discovery Accelerator (SBDA) at the P&G Singapore Innovation Center represents a bold commitment to seize this opportunity and shape the future of skin and scalp science. Combining world-class bioscience, advanced experimental systems, multimodal data, computational biology, and AI-enabled discovery, the Accelerator aims to create a fundamentally new engine for innovation in skin and scalp health.
This is an invitation to ambitious scientists who want their work to matter beyond the laboratory. You will join a global ecosystem of scientific excellence and work closely with P&G Research Fellows, senior technical leaders, and internationally recognized experts located in Singapore and across P&G's worldwide R&D network. Through mentorship, collaboration, and exposure to some of the company's most accomplished innovators, you will tackle frontier scientific challenges while developing the skills and perspective needed to lead the next generation of discovery. If you are driven by scientific excellence, inspired by large-scale impact, and motivated to tackle some of the most important unanswered questions in human biology, we invite you to help shape the future of skin and scalp health for billions around the world..
This 2-year Postdoc position will explore how physical and chemical inputs can be harnessed to influence biological systems and drive superior skin and scalp outcomes across the lifespan. By combining advanced biology, physics, engineering and AI-enabled discovery, the program seeks to uncover the principles that govern how cells, tissues, and biological pathways respond to designed interventions. This is a unique opportunity to pioneer a new understanding of programmable biology for skin and scalp health across the human healthspan.
Key Responsibilities
• Pioneer new scientific frameworks and discovery approaches to advance understanding of biological performance, resilience, regeneration, and health across the lifespan.
• Design and execute high-impact research programs leveraging advanced biology, human-relevant experimental systems, multimodal data, and AI-enabled discovery.
• Work alongside P&G Research Fellows and global scientific leaders to shape scientific strategy and accelerate breakthrough discovery.
• Operate within a Design-Build-Test-Learn discovery environment , integrating experiments, computational approaches, and emerging technologies to drive continuous learning.
• Translate breakthrough discoveries into publications, intellectual property, external collaborations, and technology opportunities with global consumer impact.
Job Qualifications
• PhD in Bioengineering, Biomedical Engineering, Biophysics, Systems Biology, Cell Biology, Regenerative Medicine, Mechanobiology, Biomedical Sciences, Computational Biology, Skin Biology, or a related discipline.
• Scientists currently completing, or having recently completed, a postdoctoral appointment in a relevant field are also encouraged to apply.
• Demonstrated research excellence through high-quality publications in peer-reviewed scientific journals.
• Strong expertise in one or more relevant scientific domains, including:
• Bioengineering and tissue engineering
• Mechanobiology and cellular mechanotransduction
• Regenerative medicine
• Biophysics and biological systems
• Skin and epithelial biology
• Tissue remodeling and repair
• Drug delivery and transport phenomena
• Cell signaling and systems biology
• Biomaterials and biointerfaces
• Hands-on experience designing and executing complex experimental studies using advanced biological model systems.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent written and verbal communication skills, including the ability to communicate complex scientific concepts across disciplines.
• Demonstrated ability to work independently while contributing effectively within multidisciplinary teams.
Preferred Qualifications
• Experience studying the biological effects of physical stimuli such as ultrasound, electrical stimulation, microcurrents, light, heat, mechanical forces, or related energy-based technologies.
• Experience with advanced human-relevant experimental systems, including engineered tissues, 3D tissue models, or microphysiological systems.
• Experience with advanced imaging technologies and quantitative image analysis.
• Experience generating and interpreting multi-omics datasets.
• Familiarity with computational biology, machine learning, mechanistic modeling, or AI-enabled biological discovery.
• Experience integrating biological, imaging, physical, and computational datasets to generate predictive insights.
• Experience working at the interface of biology, engineering, and data science.
• Knowledge of tissue repair, regeneration, remodeling, delivery systems, or biological response to external stimuli.…
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