Research Fellow (CBDS/SXY)

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.

Prof. Wang Yibin and Dr. Xiaoyu Song are seeking a highly motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in cardiovascular and metabolic diseases. The successful candidate will contribute to interdisciplinary research at the interface of biostatistics, bioinformatics, computational biology, and metabolomics, with applications in translational cardiovascular science. Projects may include developing and applying statistical and AI methods for metabolomics and spatial multi-omics data, integrating multi-modal datasets (genomic, transcriptomic, proteomic, and clinical), and identifying molecular mechanisms, biomarkers, and risk predictors for cardiovascular and metabolic diseases.

This position offers a unique opportunity to work closely with both methodological and biomedical investigators in a highly collaborative environment, and to contribute to impactful research in human disease biology and translational medicine.

Key Responsibilities:

• Design, adapt, and apply statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis.
• Analyse large-scale metabolomics, proteomics, transcriptomics, genomics, imaging, and clinical datasets; interpret results to generate biological and/or clinical insights.
• Contribute to integrative analyses to elucidate molecular mechanisms and identify biomarkers for cardiovascular and metabolic diseases.
• Work closely with biostatisticians, clinicians, biologists, and other collaborators within Duke-NUS and with external partners.
• Prepare oral presentations, written reports, and visual summaries to communicate methodologies, findings, and scientific significance.
• Contribute to and lead preparation of manuscripts for submission to statistical, computational, and biomedical journals.
• Assist in the preparation of grant applications, progress reports, and related research documentation.
• Support project coordination and maintain well-organised documentation of research activities.
• Perform any other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science, Systems Biology, or a related quantitative field.
• Strong background in statistical modelling, machine learning, bioinformatics, or high-dimensional data analysis.
• Proficiency in programming languages such as R and/or Python.
• Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred.
• Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker discovery is desirable.
• Excellent communication, organisational, and collaborative skills.
• Ability to work both independently and as part of an interdisciplinary research team.
• A strong publi

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