Bioinformatics Research Assistant - Immunology & Omics

Centre for Immunology & Infection - C2i

Hong Kong

On-site

HKD 201,000 - 290,000

Full time

14 days+
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Job summary

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.

Qualifications

  • Bachelor’s degree in Biological Sciences, Bioinformatics, Biomedical Sciences, Computational Biology, or related field.
  • Master’s degree in a relevant field is preferred.
  • Proficiency in programming languages such as R, Python, or similar tools for data analysis.
  • Experience with biological data analysis (genomics, transcriptomics, proteomics, or clinical datasets).
  • Knowledge of data cleaning, quality control, and interpretation of results.

Responsibilities

  • Analyze and interpret biological and clinical datasets using statistical and computational methods.
  • Develop and maintain analysis pipelines for high-throughput data.
  • Collaborate with scientists and clinicians to support experimental design and data interpretation.
  • Assist in preparing reports, publications, and presentations.

Skills

Analytical thinking
Communication
Independent work
Team collaboration
Time management

Education

Bachelor's in Biological Sciences or related
Master's degree preferred

Tools

R
Python

Job description

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.

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