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.

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.

Requirements

• Bachelor’s Degree in Data Science, Computer Science, Statistics, Information Systems, Biomedical Informatics, or a related quantitative discipline.
• 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.

Preferred

• A Master’s Degree will be an advantage.

Hiring Institution

NTU