Job Description
The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.
Dr. Xiaoyu Song's laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.
The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.
Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.
Key Responsibilities:
- Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
- Support the implementation, testing, and application of statistical, computational, or AI-based methods.
- Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
- Conduct literature reviews and summarise key research findings.
- Prepare tables, figures, presentations, and written summaries of research results.
- Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
- Contribute to the preparation of manuscripts and reports, as appropriate.
- Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
- Maintain accurate and organised research records and documentation.
- Perform other related duties incidental to the work described herein.
Job Requirements
- Bachelor's or Master's degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
- Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
- Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
- Proficiency in R, Python, or similar programming languages.
- Ability to work both independently and collaboratively in a research environment.
- Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.
We regret that only shortlisted candidates will be notified.
