Senior Research Data Curator

2 days ago

Singapore HYPERSCAL SOLUTIONS PTE. LTD. Full time

**COMPANY DESCRIPTION**

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. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

**RESPONSIBILITIES**
- Strategic Data Stacks Initiative- Lead coordination with internal stakeholders (researchers, SMU offices such as IT teams) and external partners (data owners, government agencies) to establish and maintain a data catalogue aligned with SMU's strategic research areas.
- Drive adoption of the enTRUST platform by designing and delivering training for faculty to effectively explore and navigate SMU data resources.
- Oversee onboarding and researcher engagement with enTRUST tools (e.g. Amazon Workspaces, SageMaker Studio, JupyterLab), ensuring a seamless user experience.
- Develop institutional training frameworks and guidance on data anonymization and data linking workflows, promoting responsible and ethical use of data.
- Produce and maintain user guides, training materials, and FAQs that build sustainable capacity in the use of the data catalogue and secure analysis environments.
- Co-creation of role with reporting manager
- Research Data Management Responsibilities- Lead the implementation and continuous refinement of SMU's revised RDM policy and institutional guidelines.
- Develop and deliver training, guidance, and templates to strengthen researchers' ability to prepare effective Data Management Plans (DMPs).
- Facilitate and promote the systematic deposit of research data into the SMU Research Data Repository and other approved storage solutions, ensuring compliance with institutional and funder requirements.
- Collaborate with internal departments and stakeholders to design and enhance workflows, SOPs, and best practices that embed robust RDM across the research lifecycle.
- Any other duties as assigned.

**QUALIFICATIONS**
- Bachelor's or Master's degree in Information Science, Data Science or any discipline with strong data focus is preferred
- At least 6 to 10 years of relevant professional experience, preferably experience at a strategic or institutional level.
- Experience working in academic or research environments is required.
- Proven ability to coordinate and communicate effectively across university departments (e.g., PVO, IITS) and with external stakeholders.
- Excellent organizational skills and attention to detail, including ability to track requests, manage workflows, and ensure timely delivery.
- Experience handling large or complex datasets, such as longitudinal panel data.
- Proficiency in at least one programming or scripting language (e.g., Python, R, or SQL).
- Familiarity with data privacy, anonymization techniques, and data governance principles.
- Knowledge of research data management (RDM) best practices.
- Familiarity with data analysis workflows and foundational AI/ML concepts (e.g., LLMs, supervised learning) to support researchers working in secure environments.

**OTHER INFORMATION**
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