Research Associate

Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
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 Associate (NUS Advance-ID)
We intend to recruit a full-time Research Associate with clinical monitoring experience to perform study monitoring within 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 focussed 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.
We are conducting international, multi-centre innovative clinical trials. Such randomized trials are essential to evaluate new therapeutics, infection prevention strategies, and diagnostics. Innovations in trial design and conduct are required to maximize efficiency, enhance patient enrolment, and maintain high data quality.
The study monitor will be responsible for overseeing sites and activities to ensure strict adherence to study protocols and applicable regulatory requirements.
Job Description
• Conduct qualification visits (QV), site initiation visits (SIV), monitoring visits (MV) and termination visits (TV) at assigned clinical sites and generate visit reports.
• Monitor the progress of clinical study sites participating in a clinical study, and to assure the protocol is followed and data is reported accurately.
• Evaluate the quality and integrity of the reported data, site efficacy and investigational product (IP) management.
• Review the performance of the trial at designated sites, ensure the rights and well-being of human subjects are safeguarded and are in accordance with protocol.
• Develop patient recruitment strategies in conjunction with the clinical site to meet enrolment timelines, while also ensuring compliance with the approved standard operating procedures (SOPs), protocol/amendment(s), GCP, and the applicable regulatory requirement(s).
• Assure that adverse events are correctly documented and reported.
• Ensure proper transmission of clinical case data to the data management centers, review case reports questions and problems and clarify or obtain alterations to data as appropriate.
Recruitment is open immediately and will continue until all positions are filled.
For further enquiries, please contact Dr Ding Ying at
Please note that only shortlisted candidates will be contacted.
Qualifications
Requirements
• Site Management or equivalent experience in clinical research, with understanding of clinical trials methodology and terminology.
• Ability to perform all clinical monitoring activities independently.
• Strong interpersonal, written, and verbal communication skills within a matrixed team.
• Experience working in a self-driven capacity, with a sense of urgency and limited oversight.
• Good time management and ability to manage multiple tasks, evaluate a variety of unpredictable scenarios and achieve project timelines while being able to apply your understanding of study protocol(s).
• Strong computer skills, including but not limited to the knowledge of an electronic data capture systems (EDC), Electronic Trial Master File (eTMF), Clinical Trial Management System (CTMS), and MS-Office products such as Excel and Word.
• MSc in relevant field.

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