Research Assistant (AI/Medicine/Data Analytics)

The Division of Information Technology and Operations Management at Nanyang Business School is inviting applications for a Research Assistant (RA) position. The Research Assistant will join a series of research in healthcare settings. The role will focus on supporting the research project with data preparation, cleaning, and analysis. Key Responsibilities: • Conduct on-site research coordination and data preparation in healthcare settings, including collaboration with hospitals, clinics, and institutional partners to facilitate data access and research implementation. • Acquire, integrate, and manage multi-source datasets, including electronic health records, system log data, survey data, and other administrative datasets required for research projects. • Perform data cleaning, preprocessing, and quality assurance, ensuring large-scale datasets are properly structured, anonymized, and suitable for statistical and machine learning analysis. • Develop and implement data analysis pipelines using Python and SQL to process structured and unstructured data (e.g., text, medical images, or voice records). • Apply advanced analytical techniques, including machine learning and natural language processing, to extract insights from healthcare-related datasets. Job Requirements: • Bachelor’s Degree in Data Science, Computer Science, Statistics, Information Systems, Biomedical Informatics, or a related quantitative discipline. A Master’s Degree will be an advantage. • Relevant experience in data analytics or research support, preferably in healthcare, digital health, or large-scale data environments. • Strong programming skills in Python and SQL, with demonstrated ability to process and analyze large datasets. • Experience working with unstructured data, such as text, image, or audio data, including familiarity with techniques such as natural language processing, computer vision, or speech data processing. • Knowledge of data preprocessing, feature engineering, and machine learning workflows, with the ability to implement analytical pipelines for empirical research. • Strong analytical and quantitative skills, with experience in data cleaning, exploratory data analysis, and statistical modeling. • Ability to manage and integrate multi-source datasets, including structured and unstructured data from digital systems, surveys, or administrative databases. • Good written and verbal communication skills, with the ability to document analytical processes and support research reporting. • Strong organizational and interpersonal skills, with the ability to work both independently and collaboratively in interdisciplinary research teams and healthcare environments. We regret to inform that only shortlisted candidates will be notified.