Job Summary

The A*STAR Skin Research Labs is seeking a Scientist with strong expertise in Artificial Intelligence and Biotechnology to lead and support analytical research on the Digital Twin of Skin (DTS) and optical metrology of Asian skin. Skin is a remarkably complex organ, and our approach embraces this richness by decomposing it across multiple spatial and biological scales—nano, micro, and meso. At the nanoscale, this includes molecular and cellular information such as DNA, RNA, proteins, and other biochemical constituents, while higher scales capture tissue structure, optical properties, and functional responses.

The Digital Twin of Skin will integrate rigorous biophysical modeling with state-of-the-art AI methodologies into a unified framework that links mechanisms with data and prediction with interpretation. Importantly, the DTS will be explicitly tailored to address melanin-related challenges in Asian skin, including its influence on optical signatures, light–tissue interactions, and downstream diagnostic and therapeutic accuracy. By embedding melanin-aware modeling across scales, the platform aims to enable more accurate, equitable, and clinically relevant skin analytics.

This work sits at the intersection of physics, biology, and machine intelligence, and offers a rare opportunity to shape how skin health, diagnostics, and interventions are understood and developed for Asian populations.

Roles and Responsibilities:

• Develop AI and biophysics-based models across multiple biological and physical scales.
• Perform data processing and statistical analysis using specialized software tools.
• Interpret complex datasets to elucidate biophysical mechanisms relevant to skin biology.
• Collaborate with cross-functional teams, including biologists and clinicians to integrate experimental and computational findings.
• Contribute to scientific writing, technical reports, publications, and presentations.

Requirements:

• PhD in Computational Science, Computing, Biotechnology, or a related discipline.
• Strong expertise in AI and data analysis, particularly in biomedical engineering or biotechnology applications.
• Hands-on experience with MATLAB and Python, and AI frameworks such as PyTorch and TensorFlow.
• Strong curiosity and willingness to learn and develop new biophysical models.
• Experience in developing foundation or large-scale computational models.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work both independently and collaboratively in a multidisciplinary research environment.

Please reach out to Alagappan (Alagappan@a-star.edu.sg) if you are interested in this position.