Nationality: International Students
Application deadlines: Open
Dr Rendong Yang Professor Rendong Yang received his PhD from China Agricultural University and did postdoctoral studies with Professors Zhaohui Qin and Tianwei Yu at Emory University, USA. His research interests include cancer genomics and epigenomics. His research has been published in Nature, Nature Genetics, Molecular Cell, Nature Communications, Cancer Research and Clinical Cancer Research, etc. He was promoted to Associate Professor at Northwestern University School of Medicine in 2022. Associate Professor, after conducting independent research as an Assistant Professor at the University of Minnesota. The group’s research focuses on the development of highly accurate and sensitive computational methods for the analysis of multidimensional genomic data, in particular for the detection and analysis of genetic and transcriptomic variants using second- and third-generation sequencing data, and has been published in journals such as Molecular Cell, Genome Medicine, Bioinformatics, GigaScience, Nature Genetics and Nature Immunology. Nature Genetics and Nature Immunology.
The group is currently supported by a number of long-term NIH grants and several foundations, and has four main lines of research:
- Development of bioinformatic algorithms and computational tools to identify large-scale structural variants at the DNA level and variable splicing variants at the RNA level, while experimentally investigating the mechanisms of carcinogenesis resulting from these events.
- Multi-omics integration to analyse open and independently generated large-scale cancer sequencing data for pan-cancer and prostate cancer biomarkers.
- Machine learning and computational algorithms for identification and characterisation of long non-coding RNAs (lncRNAs) and cancer neoantigens.
- Development of algorithms and experimental techniques for integrated multi-omic analyses using next-generation sequencing technologies (long-read sequencing).5. Integrative analyses.
- PhD in computational biology, bioinformatics, genomics or other related computational fields.
- Proficient in at least one programming language (R/Python/Java/C/C++/Rust) and familiar with the basic operation of a Linux system.
- Good background in statistics/machine learning or computational genomics, familiar with data analysis of large-scale second-generation sequencing (WGS, WGBS, Hi-C, ATAC-seq, RNA-seq or ChIP-seq, etc.). Articles on bioinformatics methodology are a plus
- At least one published or accepted first or co-authored SCI article in English
- A passion for scientific research and the ability to think and work relatively independently.
- Fluency in written and spoken English
Postdocs should send their applications, CVs and contact details of 2-3 referees to Prof Yang at [email protected].