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Centre for Immunology & Infection (C2i) invites applications for a Research Assistant I to contribute to multi-omics data analysis in immunology and translational research, on a one-year or two-year fixed-term basis with potential renewal.
Ideal candidates hold a bachelor's in Biological Sciences or related field, with strong programming in R or Python, exposure to bioinformatics tools, and the ability to work both independently and in cross-disciplinary teams.
The Centre for Immunology & Infection (C2i) is a premier research institute focused on advancing biomarker discovery and the development of next-generation vaccines and therapeutic strategies. Founded through a strategic partnership of over 20 years between the LKS Faculty of Medicine at the University of Hong Kong (HKUMed) and the Institut Pasteur in Paris, C2i integrates world-class expertise in biomedical science to drive innovation in public health.
C2i is dedicated to addressing critical global and local health challenges through cutting-edge technology platforms, with a strong emphasis on translational research and commercial impact. A key initiative includes the establishment of a foundational model of the immune system to enable AI-driven biomarker discovery and drug development.
Applications are invited for appointment as Research Assistant I in the Program 1 of Centre of Immunology & Infection to commence as soon as possible on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and mutual agreement. The successful candidate will contribute to cutting-edge projects involving multi-omics big data analysis, with a focus on immunology, genomics, and translational biomedical research.
Education
Technical Skills
Knowledge & Experience
Soft Skills
Data Analysis & Interpretation
Bioinformatics & Computational Work
Research Support
This position offers an excellent opportunity to work in a collaborative and innovative environment with access to state-of-the-art facilities and international research networks.
We are an equal opportunities employer and welcomes applications from all qualified candidates. The personal data provided in your application process will be kept confidential and only will be used for recruitment and other employment-related purposes. The personal data may be transferred and disclosed to and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes.