Postdoctoral Researcher - Georgia, United States - Immunology Center of Georgia, Augusta University

Description

Company Description

The Chiang Lab is a part of IMMCG, a new research enterprise that pioneers ways for the body to marshal its immune defenders and attackers to defeat threats to human health. This center was launched in 2022, located at the Health Sciences Campus of Augusta University. In partnership with the Georgia Cancer Center and Vascular Biology Center, the IMMCG is dedicated to building up a highly distinguished institution with a sharp focus on how to strengthen the immune system's ability to fight the nation's two leading killers, cancer, and cardiovascular diseases.

Role Description

We are excited to announce an exceptional opportunity for a Postdoctoral Fellow to pioneer in the intersection of artificial intelligence (AI) and single-cell omics research at the Chiang Lab. You will lead groundbreaking research projects centered around AI and machine learning technologies to advance our understanding of human diseases.

The Chiang Lab has been at the forefront of integrating AI with systems immunology approaches to unravel the complex immunological system of human diseases. Despite their importance, the complexity of immune system has made it very difficult to study. We will take a multifaceted approach, combining innovative AI technologies and experimental methodologies, to untangle the intricate immune system. Our mission is to harness the power of AI to identify critical regulators, biomarkers, and immune cell interactions with significant clinical and pathological relevance.

Join our dynamic team at the Immunology Center of Georgia (IMMCG) and embark on a transformative journey in systems immunology research

If you are interested, please email us at

Dr. Austin Chiang

Qualifications

• A Ph.D. in Immunology, Computational Biology, Systems Biology, Artificial Intelligence, Machine Learning, or a closely related field, with a strong focus on AI applications in biological research.
• The ideal candidate will have experience with AI and ML methodologies, particularly as applied to single-cell omics and systems biology.
• The ideal candidate will have experience with at least one programming language, such as R, Python, or Matlab.
• Solid foundation in computational biology or bioinformatics.
• Excellent ability to communicate complex scientific ideas and collaborate across disciplinary boundaries.
• Fundamental understanding of immunology, molecular biology, and cell biology.
• Ability to collaborate effectively within a team of students and researchers in the Chiang lab.