Duke-NUS Medical School – Postdoctoral Research Fellow
Company Information: 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 partnership 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.
Dr. Xiaoyu Song’s lab in Centre for Quantitative Medicine at Duke-NUS Medical School is seeking a highly motivated Postdoctoral Research Fellow with expertise in biostatistics, statistics, AI, 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, cancer proteogenomics integrative analysis, spatial proteomics data analysis, 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.
Position Title: Postdoctoral Research Fellow
Duties and Responsibilities: The postdoctoral researcher will engage in both independent and collaborative research, driving innovative projects at the intersection of statistics and biomedical sciences. He/she is expected to plan, organize, 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: Analyze 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. Develop skills and experience to write mentored research grants.
Perform other related duties incidental to the work described herein.
Position Qualifications: PhD in Biostatistics, Statistics, AI-related fields, Bioinformatics, Computational Biology, or related fields.
Strong foundation in statistical modeling, machine learning, or high-dimensional data analysis.
Proficiency in programming languages such as R, Python, or Julia.
Excellent communication and collaborative skills.
Strong publication record in peer-reviewed journals is an advantage.
Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.
Salary Range: ~SGD5500
Benefits: What We Offer:
Housing benefit of SGD1200.
Access to state-of-the-art resources in biomedical research at Duke-NUS Medical School.
Opportunities to collaborate with leading scientists globally through NIH and NUS networks.
Mentorship for career development and support in transitioning to academic independence.
Competitive salary and benefits, commensurate with experience.
Website:
Application Information: Please email Xiaoyu Song at song.xiaoyu@duke-nus.edu.sg.
Contact Email: song.xiaoyu@duke-nus.edu.sg
Application Deadline: 12/01/2025
Company NameDuke-NUS Medical School
Company Information
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 partnership 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.
Dr. Xiaoyu Song’s lab in Centre for Quantitative Medicine at Duke-NUS Medical School is seeking a highly motivated Postdoctoral Research Fellow with expertise in biostatistics, statistics, AI, 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, cancer proteogenomics integrative analysis, spatial proteomics data analysis, 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.
Position TitlePostdoctoral Research Fellow
Duties and Responsibilities
The postdoctoral researcher will engage in both independent and collaborative research, driving innovative projects at the intersection of statistics and biomedical sciences. He/she is expected to plan, organize, 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: Analyze 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. Develop skills and experience to write mentored research grants.
Perform other related duties incidental to the work described herein.
Position Qualifications
PhD in Biostatistics, Statistics, AI-related fields, Bioinformatics, Computational Biology, or related fields.
Strong foundation in statistical modeling, machine learning, or high-dimensional data analysis.
Proficiency in programming languages such as R, Python, or Julia.
Excellent communication and collaborative skills.
Strong publication record in peer-reviewed journals is an advantage.
Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.
Salary Range~SGD5500
Benefits
What We Offer:
Housing benefit of SGD1200.
Access to state-of-the-art resources in biomedical research at Duke-NUS Medical School.
Opportunities to collaborate with leading scientists globally through NIH and NUS networks.
Mentorship for career development and support in transitioning to academic independence.
Competitive salary and benefits, commensurate with experience.
Application Instructions
Please email Xiaoyu Song at song.xiaoyu@duke-nus.edu.sg.