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Senior/Research Fellow, Cutaneous Aging Program LKCMedicine

1 week ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

The Lee Kong Chian School of Medicine's Skin Program at the Skin Research Institute of Singapore (SRIS) is a leading research entity focused on improving skin health for all.

Our Mission

We aim to advance our understanding of inflammation and skin integrity, addressing real-world issues faced by consumers and individuals with skin diseases. Our work has significant impact, as reflected in publications in top-tier journals, high-value collaborations with industry, and successful commercialization in spin-out companies.

Job Overview

We are seeking a Senior/Research Fellow to contribute to a large Programme focused on improving Asian skin aging and developing interventions to support Asian skin health. The role will involve the development of advanced in vitro models of Asian aging skin, ensuring they accurately mimic key aspects of aging in Asian skin types.

Key Responsibilities:
  • Develop and test in vitro aging skin models in collaboration with other programme partners
  • Communicate and coordinate with other efforts within the programme
  • Regularly report findings to programme stakeholders
  • Support the programme manager in reporting and administrative tasks related to the skin model work package
  • Assist in supervising research assistants and graduate students as needed
  • Maintain the highest lab safety standards and participate in general lab upkeep
  • Engage actively in scientific lab and institute events, such as lab meetings and seminars
Requirements:
  • PhD degree in a biomedical or related research field
  • Excellent written and oral communication skills
  • Proficiency in general molecular biology, advanced mammalian cell culture, modern microscopy techniques, and image analysis
  • Commitment to scientific excellence and a practical mindset
  • Preferred: prior experience in skin research, knowledge of microbiology, experience with R/Python, and data analysis
  • Able to work collaboratively in a multidisciplinary environment and manage time pressure effectively
  • Entry-level candidates welcome to apply