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Open nowPosted today

Research Fellow (NUS Advance-ID)

NATIONAL UNIVERSITY OF SINGAPORE

Pay
SGD 5,750 – SGD 7,000 a month
Where
West, Singapore
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Your applicationOpen nowResearch Fellow (NUS Advance-ID)NATIONAL UNIVERSITY OF SINGAPORE · West, Singapore

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This job: posted today

The posting

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link - https://careers.nus.edu.sg/job/Research-Fellow-%28NUS-Advance-ID%29/34788-en_GB/?st=42D2090D38C6538EDDF17CCAB48A6CC4A8670D32

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Fellow (NUS Advance-ID)

We intend to recruit a full-time research fellow for the lead faculty of the ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID).

ADVANCE ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focused on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the region by acting as a platform to develop good principles and practices. It will stabilise capacity and capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously develop its capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in Southeast Asia and collaborating with other networks around the world. It will function as an active network that involves patients in platform trials, allowing for rapid clinical research response in the event of an emerging infectious disease or pandemic threat.

The current lead faculty of the Network Professor David Paterson (Executive Chair) and A/P Mo Yin (Director). The research fellow will be working closely with the Network leaders and the study team to deliver ADVANCE ID’s aims and objectives.

Job Description • Conduct bioinformatics analysis of bacterial whole-genome sequencing (WGS) data for antimicrobial resistance (AMR) research and surveillance. • Perform genomic analyses, including AMR gene and mutation detection, bacterial typing, phylogenetic analysis and genomic epidemiology. • Develop, optimise and maintain reproducible bioinformatics pipelines and workflows. • Integrate genomic data with clinical, microbiological and epidemiological data. • Collaborate with clinicians, microbiologists, epidemiologists and international research partners. • Contribute to scientific publications, grant applications, research reports and presentations. • Support bioinformatics training and capacity building for research collaborators.

Recruitment is open immediately, and will continue until all positions are filled. For further enquiries, please contact Dr Ding Ying at [email protected] Please note that only shortlisted candidates will be contacted.

Qualifications

Requirements • PhD in Bioinformatics, Computational Biology, Microbiology, Genomics or a related discipline. • Demonstrated experience in bacterial WGS analysis, preferably in AMR research or infectious disease surveillance. • Proficiency in bioinformatics tools, databases and programming languages such as Python, R or Bash. • Experience in bacterial genomics, AMR gene detection, phylogenetic analysis and genomic epidemiology. • Familiarity with Linux environments, workflow automation and version control. • Strong analytical, problem-solving, scientific writing and communication skills. • Ability to work independently and collaboratively in multidisciplinary research teams.

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