The institute's biostatistics group aims to develop and apply novel statistical methods in genetic studies and multi-omics data analysis. We focus on the genetic dissection of human complex traits and diseases in the context of big data. We are also interested in conducting extensive interdisciplinary research in mathematical science, computing science, and life sciences.
Current key research topics in the group include:
Development of statistical genetics methods for genome-wide association studies
Dissecting genetic architecture based on high-dimensional genetic and omics data
Prediction of complex diseases through statistical modeling and artificial intelligence
BSc in Biotechnology, Hefei University of Technology
Research Interests: Statistical genetics; Quantitative genetics; Human complex traits
BSc in Biology, Sun Yat-sen University
Research Interests: Statistical modeling; Multi-omics data integration; Human genetics
BSc in Biology, Sun Yat-sen University
Research Interests: Statistical genetics; Quantitative genetics
MSc in Biostatistics, Peking University
Research and Scholarly Interests: Statistical genetics; Quantitative genetics
BSc in Biotechnology, Sun Yat-sen University
Research Interests: Quantitative genetics; Genetics of complex traits
MSc in Biochemistry and Molecular Biology, Sun Yat-sen University
BSc in Bioinformatics, Huazhong Agricultural University
Research Interests: Human genetics; Quantitative genetics; Population genetics
MSc in Statistics with Data Science, University of Edinburgh
BSc in Statistics, Sun Yat-sen University
Research Interests: Statistical methodology, Genomics, Bioinformatics
Undergraduate, School of Ecology, Sun Yat-sen University
Please email Miss Fu ( hr@ipm-gba.org.cn ) with the following documents if interested in a postdoc position.
General Qualifications:
We are seeking highly dedicated, motivated, and well-trained postdoctoral researchers. Applicants should hold a PhD degree in a field relevant for the position, preferably completed no more than three years by the time of the employment. Strong statistics expertise with data analysis skills is a strong plus.
Application Materials:
1. An up-to-date Curriculum Vitae
2. A publication list
3. (Optional) A cover letter describing your track records, your short- and long-term career goals, and your brief research plan
