Research Fellow

Roles & Responsibilities

About Duke-NUS Medical School:

Duke-NUS Medical School is a premier research and graduate medical school in Singapore, established through a strategic partnership between Duke University in the United States and the National University of Singapore (NUS) in Singapore. This unique collaboration leverages Duke's expertise in medical education and NUS's world-class research infrastructure to foster innovation at the interface of biomedical research and clinical care.

Duke-NUS is internationally recognised for its translational research programmes, which seek to bridge the gap between basic science discoveries and clinical application. The school is structured around five signature research programmes, including Health Services & Systems Research (HSSR), Cardiovascular & Metabolic Disorders (CVMD), and Cancer & Stem Cell Biology (CSCB). These programmes address some of the most pressing healthcare challenges globally.

Position Overview:

Dr. Xiaoyu Song's lab at Duke-NUS Medical School is seeking a highly motivated Postdoctoral Research Fellow with expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join a dynamic and interdisciplinary team focusing on the development and application of novel statistical methods for multi-omics data analysis. Potential projects may include developing methods for studying tumor microenvironment using spatial transcriptomics data, proteogenomics integrative analysis for casual inference, and integrative AI models for cell-type-aware association analysis of bulk omics data. This position offers a unique opportunity to work at the forefront of biostatistics, contributing to discoveries that impact the understanding of cancer and other complex diseases. Dr. Xiaoyu Song's profile is as follow: https://sites.google.com/view/xiaoyu-song/home.

Key Responsibilities:

The postdoctoral researcher will engage in both independent and collaborative research, driving innovative projects at the intersection of statistics and biomedical sciences. The successful candidate is expected to plan, organise, conduct, communicate, and disseminate research studies within the overall scope of a research project at Duke-NUS. Their responsibilities include:

• Method Development: Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features.
• Data Analysis: Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Collaboration: Work closely with national and international collaborators, including biostatisticians, clinicians, biologists, students and other research staff.
• Presentation: Prepare oral presentations and written reports to evaluate data, explain analysis methods, and interpret results.
• Manuscript Preparation: Lead and contribute to high-impact publications in statistical and biomedical journals.
• Grant Writing: Assist in the preparation of grant applications and reports for ongoing funded projects.
• Perform other related duties incidental to the work described herein.

Job Requirements:

• PhD in Biostatistics, Bioinformatics, Computational Biology, or other related fields.
• Strong foundation in statistical modeling, machine learning, or high-dimensional data analysis.
• Proficient in programming languages such as R, Python, or Julia.
• Possess excellent communication and collaborative skills.
• Strong publication record in peer-reviewed journals is an advantage.
• Prior experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.

Tell employers what skills you have

Machine Learning
Genomics
Translational Research
Julia
Statistical Modeling
Data Analysis
Healthcare
Grant Writing
Cell Biology
Manuscript
Python
Bioinformatics
Statistics
Computational Biology
Publications
Biostatistics

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