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Job Description

We invite applications for a full‑time Research Assistant / Research Associate to support ongoing projects in Language, Literacy & Child Development at NUS. The team studies children's bilingual language and literacy development and brain-behaviour relationships using large, longitudinal Singapore cohorts (e.g., GUSTO, S‑PRESTO, SG LEADS) and mixed‑methods datasets.

The successful hire will support the PI and a Senior RF across a range of administrative and research tasks, including applying for and maintaining IRB proposals and participating on data collection, data cleaning, data management, and basic statistical analysis using SPSS and/or R, with opportunities to contribute to figure/table generation and external reports and publications.

Responsibilities

• Data cleaning & harmonisation: Import, merge, and tidy multi‑wave survey/assessment datasets; handle missing values and recodes; maintain clear data dictionaries/codebooks.
• Quality control: Run validation checks (range, duplicates, logic) and maintain audit trails; ensure versioning and reproducibility of datasets and scripts.
• Basic analyses: Generate descriptives, cross‑tabs, correlations, and simple regression models in SPSS/R; produce APA‑style tables/plots for publication and presentation.
• Documentation: Prepare concise READMEs, analysis notes, and SOPs; update project trackers regularly.
• Collaboration: Liaise with PIs and team members to clarify variable definitions, analysis requests, and timelines; attend regular lab meetings.
• Data collection: Set up and monitor Qualtrics questionnaires (pilots, logic checks, deployment), schedule participants, manage consent and on‑site logistics; assist with fNIRS set‑up/acquisition and QC (training provided); maintain session logs and upload data securely.
• (As needed): Support IRB/ethics amendments, Procurement and NUS research administration processes, Qualtrics checks, simple literature scans, and compliant data transfers.

Qualifications

Minimum (Research Assistant):
- Bachelor's degree in a social science discipline (e.g., Psychology, Linguistics, Sociology, Education, Public Policy, Neuroscience) or related quantitative field.
- Working proficiency in R and/or SPSS for data cleaning and basic analysis.
- Strong attention to detail and documentation habits.
- Clear written and spoken communication; organised and team‑oriented.

Preferred (Research Associate):
- Master's degree or ≥2 years of relevant RA experience.

-Experience with NUS IRB and other research administration systems and procedures.
- Strong R workflow (tidyverse) skills; reproducible scripting.
- Strong data‑management skills (data governance, documentation, version control).
- Experience with longitudinal datasets and mapping variables across waves/cohorts.
- Familiarity with Qualtrics, NVivo, Git/GitHub, or basic SQL is a plus.
- Background in bilingualism, literacy, cognitive development, or educational measurement is advantageous.
- Experience/knowledge in neuroimaging (e.g., MRI, DTI, fNIRS) is a plus.

Other Information

Clearly communicates Faculty's/Department's policies

Faculty members' concerns are handled well by the incumbent and his/her team of administrators