Research Fellow (OR/EID/YS2)

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our understanding of emerging infections through world-class research that integrates immunology, infection biology, pathogen genomics, and computational approaches. This integration drives comprehensive studies of host–pathogen interactions across molecular, individual, and population scales to address emerging health challenges.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Develop and improve framework of virome analyses, transcriptomic data analyses, metagenomic analyses or associated tools for studying infectious diseases.
• Apply and integrate the tools to jointly analyse host immune responses and virome composition, aiming to characterise infection types and assess spillover or pathogenic risk.
• Develop computational scripts and/or pipelines for data analyses.
• Interface and network with scientists overseas to achieve the goals of the project.
• Prepare data for manuscripts, progress reports and grant applications.
• Demonstrate and present research output.
• Perform other related duties incidental to the project theme.

Job Requirements

• PhD in Bioinformatics, Evolutionary Genomics, Viral Genomics, or other related disciplines.
• Prior experience in designing/developing implementing virome analyses for large-scale metagenomic or meta-transcriptomic datasets is preferred.
• Familiarity with pathogenic viruses in animal reservoirs is desirable.
• Demonstrated experience in collaborative research with experimental or field-based virologists.
• Possess strong knowledge in Linux/Unix operating systems and high-performance computing clusters.
• Have in-depth knowledge of Bash, R and Python scripting.
• Possess excellent quantitative, analytical, organisation skills, and basic experimental skills (e.g. PCR, NGS).
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.