[Hiring] Research Assistant I (C2i132-RP1)

Job reference number: C2i132-RP1

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.

Research Assistant I (C2i132-RP1)

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.

Job Requirements

Education

• Bachelor’s degree in Biological Sciences, Bioinformatics, Biomedical Sciences, Computational Biology, or a related discipline

• A Master’s degree in a relevant field is preferred

Technical Skills

• Proficiency in programming languages such as R, Python, or similar tools for data analysis

• Experience with biological data analysis, including genomics, transcriptomics, proteomics, or clinical datasets

• Familiarity with statistical analysis methods and data visualization techniques

• Experience with relevant bioinformatics tools, databases, and pipelines

Knowledge & Experience

• Strong understanding of biological systems and experimental design

• Experience in handling large-scale datasets (e.g., sequencing or cohort data)

• Knowledge of data cleaning, quality control, and interpretation of results

• Prior experience in research, clinical studies, or translational research projects is an advantage

Soft Skills

• Strong analytical and problem-solving skills

• Good communication skills to present complex findings to non-technical audiences

• Ability to work independently and collaboratively in multidisciplinary teams

• Strong organizational and time-management skills

Job Responsibilities

Data Analysis & Interpretation

• Analyze and interpret biological and clinical datasets using appropriate statistical and computational methods

• Perform data preprocessing, quality control, and validation of datasets

• Identify patterns, trends, and insights to support research objectives

Bioinformatics & Computational Work

• Develop, implement, and maintain analysis pipelines for high-throughput biological data

• Utilize bioinformatics tools to analyze genomic, transcriptomic, Immunophenotype or other omics data

• Ensure reproducibility and documentation of analysis workflows

Research Support

• Collaborate with scientists, clinicians, and project teams to support experimental design and data interpretation

• Contribute to the preparation of reports, publications, and presentations

• Assist in integrating multi-omics or longitudinal datasets where applicable

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. Applicants should submit their up-to-date C.V. quoting the job reference number, current/expected remuneration and availability, to jobs@c2i.hk. Review of applications will start as soon as possible and continue until the post is filled.

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.