Executive/ Senior Executive (Research Affairs) - 6 months

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

National University of Singapore invites applications for a Research Administration role within the Duke-NUS Medical School ecosystem in Singapore. The incumbent will support publication data validation, prepare management reports, manage award nominations, and provide secretariat support for strategic committees, while exploring AI-enabled improvements to workflows.

The role requires a degree in Biological Sciences or equivalent, with 3–4 years in biomedical research or healthcare environments,

Qualifications

• Degree in Biological Sciences or equivalent.
• Experience in biomedical research or healthcare environment preferred (3–4 years).
• Strong data handling and analytical skills with attention to accuracy and detail.
• Good oral and written communication and ability to work in teams.

Responsibilities

• Validate and maintain publication data from bibliometric sources (PubMed, Web of Science, Scopus, SciVal).
• Prepare management reports and research updates for senior management.
• Manage research award nominations and prepare nomination packages.
• Provide secretariat support to strategic committees; organize meetings and minutes.
• Participate in special projects and ad hoc assignments as needed.
• Explore automation and AI-enabled solutions to improve processes.

Skills

Analytical skills

Organisational skills

Communication skills

Teamwork

Attention to detail

Education

Biological Sciences degree

Other degrees with biomedical experience

Tools

Microsoft Excel

Adobe Acrobat

Zoom

AI-enabled tools

Job description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job Description

The successful candidate will be part of a dynamic research administration team in Duke-NUS Medical School who works with various stakeholders including faculty members, senior management, interdisciplinary offices in the School and in the SingHealth Duke-NUS Academic Medical Centre. The incumbent will manage a variety of business functions and leverage on appropriate digital and AI-enabled tools to automate tasks, streamline workflows and enhance operational efficiency, including, but not limited to, the following:

• Validation of Publication Data: Support the review and maintenance of publication records to ensure data accuracy, completeness, and consistency. This includes validating and analysing data collected from bibliometric platforms like PubMed, Web of Science, Scopus and SciVal.

Reviewing an average of about 100 to 120 publication entries per month, identifying discrepancies, flagging unclear cases for follow-up, and ensuring records are properly documented.

• Prepare management reports and research updates: Collate information from newsletters, internal communications/ announcements, research programme updates for senior management and stakeholders.
• Manage research award nominations: Co-organise award nominations with institutional partners, disseminate nomination calls and prepare nomination packages for scoring committee and senior management review.
• Support strategic committees with secretariat functions: Organise meetings, prepare meeting materials, take minutes and follow up on outstanding matters.
• Participate in special projects and take up ad hoc assignments that arise in response to the evolving needs of the School.
• Explore automation and AI-enabled solutions to improve work processes, increase efficiency and productivity.

Qualifications

Job Requirements

• Degree in Biological Sciences or equivalent
• Candidates with a degree in other disciplines but have worked in the biomedical research or healthcare environment for a minimum of 3 to 4 years will also be considered.
• Prior work experience in a research/academic environment would be advantageous.
• Good data handling and analytical skills with attention to accuracy and detail.
• Strong organisational skills with the ability to prioritise, multi-task and manage competing deadlines.
• Possess strong oral and written communication skills and able to work well in teams.
• Proficient in Microsoft Office applications (especially Excel), Adobe Acrobat (PDF) and Zoom.
• Comfort in using AI models and AI-enabled tools.
• Candidates with higher credentials may be considered for the more senior appointment.

We regret that only shortlisted candidates would be contacted.