At a Glance
- Tasks: Coordinate research data, support analysis, and engage with external partners.
- Company: Join Singapore Management University, a vibrant community fostering collaboration and growth.
- Benefits: Enjoy competitive pay, professional development, and a supportive work-life balance.
- Why this job: Make a real impact in research on successful ageing while developing your skills.
- Qualifications: Master's degree preferred, with strong quantitative skills and research experience.
- Other info: Dynamic role with opportunities for leadership and mentorship in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university. Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. SMU continues to be recognised for its human resource excellence.
RESPONSIBILITIES
This position is for Centre for Research on Successful Ageing (ROSA).
- Data Harmonisation and TRUST platform linkage
- Coordinate with grantor and relevant stakeholders to understand and fulfil data harmonisation and submission requirements.
- Collaborate with research fellows to ensure datasets comply with FAIR-aligned principles (Findable, Accessible, Interoperable, Reusable).
- Support the preparation, validation, and maintenance of TRUST-linked datasets for research use, including error checking, impact evaluation, and longitudinal modelling tasks.
- Maintain clear and comprehensive documentation of data workflows, processes, and methodologies.
- Research Support and Publications
- Assist in longitudinal data analysis, survey design and general research activities to support research briefs, reports, and academic publications.
- Contribute to research collaborations with government ministries, agencies and external partners.
- Co-authoring of academic papers in fields such as economics, sociology, psychology, public health, data science.
- External Engagements
- Manage requests for information from researchers, partners, and external stakeholders related to the panel or research datasets.
- Support the preparation of reports, policy briefs, and presentation materials for external audiences.
- Assist in organising and coordinating outreach and engagement activities, including symposiums, workshops, seminars, conferences, community outreach programmes, and international research collaborations.
- Depending on their abilities and preferences, this person also may represent the Centre externally, whether in the media, professional organisations, government or other forums.
- Administrative and Centre Support
- Provide ad hoc administrative and operational support to ensure smooth running of Centre activities.
- Assist with coordination across teams, tracking of project timelines, and general administrative tasks as required.
QUALIFICATIONS
- Master's degree, background in statistics or social sciences preferred.
- At least 5 years of relevant research experience.
- Strong quantitative training with proficiency in STATA, R, Python and Mplus.
- Experience in structural equation modelling and/or machine learning techniques.
- Experience in analysing and processing large datasets.
- High attention to detail with strong standards for accuracy, rigour, and impartiality in all analytical and written outputs.
- Ability to work both independently and collaboratively within multidisciplinary teams.
- Strong organisational skills, with the capacity to manage multiple tasks and meet timelines effectively.
- Excellent verbal and written communication skills, with sound editorial judgement and the ability to present research methodology and findings clearly and concisely.
- Demonstrated ability to mentor, train, or support skill development in colleagues.
- Capacity to take on leadership responsibilities, including project coordination or supervising aspects of team workflow.
- Interest in expanding technical capabilities to adopt new analytical tools, software, or methodological approaches.
- Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
Research Administrator (contract until 31 July 2027), ROSA employer: HYPERSCAL SOLUTIONS PTE. LTD.
Contact Detail:
HYPERSCAL SOLUTIONS PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Administrator (contract until 31 July 2027), ROSA
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Singapore Management University on LinkedIn. A friendly chat can give us insider info about the role and help us stand out when we apply.
✨Tip Number 2
Prepare for the interview by researching the Centre for Research on Successful Ageing (ROSA). Knowing their projects and values will show that we’re genuinely interested and ready to contribute.
✨Tip Number 3
Practice our responses to common interview questions, especially around data analysis and collaboration. We want to highlight our experience with STATA, R, and Python, so let’s make sure we can talk about it confidently!
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email can keep us fresh in their minds and show our enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Research Administrator (contract until 31 July 2027), ROSA
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Research Administrator role. Highlight your relevant research experience, especially in data analysis and collaboration, to show us you're the perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about research and how your background aligns with our mission at ROSA. Be genuine and let your personality come through!
Showcase Your Skills: Don’t forget to mention your technical skills, especially in STATA, R, Python, and any experience with large datasets. We want to see how you can contribute to our team and help us achieve our goals!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your Data Inside Out
Make sure you’re well-versed in data harmonisation principles and the FAIR guidelines. Brush up on your experience with STATA, R, Python, and Mplus, as these will likely come up during the interview. Being able to discuss specific projects where you've applied these tools will show your expertise.
✨Showcase Your Collaborative Spirit
Since this role involves working with various stakeholders, be prepared to share examples of how you've successfully collaborated in multidisciplinary teams. Highlight any experiences where you’ve coordinated with external partners or contributed to research publications, as this will demonstrate your ability to work well with others.
✨Prepare for Technical Questions
Expect some technical questions related to longitudinal data analysis and machine learning techniques. Review your past projects and be ready to explain your methodologies clearly. This will not only showcase your knowledge but also your ability to communicate complex ideas effectively.
✨Demonstrate Your Organisational Skills
With multiple tasks and timelines to manage, it’s crucial to illustrate your organisational skills. Prepare to discuss how you prioritise tasks and ensure smooth project coordination. Sharing specific examples of how you’ve managed competing deadlines will help convey your capability in this area.