Job Description

Research Fellow/Research Associate (ADVANCE-ID)

We intend to recruit a full-time research fellow/research associate 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 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.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East 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 are Professor David Paterson (Director) and Dr Mo Yin (Deputy Director). The research fellow will be working closely with the Network directors and manager (Dr Ding Ying) to deliver ADVANCE ID\'s aims and objectives.

Duties & Responsibilities

• Analyze data, write-up and publish findings in high-impact journals;
• Work on in-silico simulations, mathematical modelling and grant writing.
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
• Assist with other research-related duties as delegated by the PI

Requirements

• Masters or Ph.D in Epidemiology and biomedical science or related discipline
• Basic programming skills, Bayesian statistics, in-silico simulations
• Basic understanding of clinical trials and antimicrobial resistance
• Be able to work independently and in a team, have an investigative nature, attention to detail

The grade of appointment will be accorded based on candidate\'s academic qualifications and years of relevant experience.

Qualifications

Masters or Ph.D in Epidemiology and biomedical science or related discipline

Times Higher Education