Postdoc/Staff Scientist of Computational Transcriptomics at Northwestern University

Posted on July 14,

We are looking for a highly motivated candidate specializing in bioinformatics and transcriptomics to join Dr. Rendong Yang’s laboratory at the Northwestern University Feinberg School of Medicine located in Chicago, IL. The goal of this position will be to lead multiple research projects, develop novel computational algorithm(s), perform data analysis, collaborate with biologists and physicians, and present/publish the results in scientific conferences/journals. The main focus is to explore the functional consequences of RNA splicing in cancer patients, to identify driver splicing events, and to understand the genetic mechanisms of cancer progression and drug resistance by integrating multi-dimensional data from large-scale cancer studies, such as TCGA, ICGC and CPTAC.


A Ph.D. in Bioinformatics/Computational Biology/Computer Science/Statistics/Physics/Biology or a related field is required along with experience in Linux, proficiency in at least one programming languages (e.g. Python, R, Perl, Java, C/C++) and experiences with high-throughput sequencing data (WGS, WES, RNA-Seq, ChIP-Seq, long reads) analysis. The candidate must demonstrate effective verbal and written communication skills. Knowledge of RNA and cancer biology is preferred.

About the Lab

The Yang Laboratory is interested in understanding the mis-splicing events of human transcriptome through the integrative analysis of large-scale, multi-dimensional genomic data to understand the initiation and progression of human diseases. The research projects involve in the development of highly accurate and sensitive computational methods for analyzing large-scale genomic data, especially in the area of detecting and analyzing genomic and transcriptomic variations. Example projects span from technique-driven research that aims developing algorithms for a wide range of applications (e.g. Yang et al., Bioinformatics 2010; Yang et al., BMC Genomics 2014; Yang et al., Genome Medicine 2015), to hypothesis-driven investigation of specific biological problems where the main goal is the discovery and advancement of biological knowledge (e.g. Asangani et al., Nature 2014; Henzler et al., Nature Communications 2016; Katerndahl et al., Nature Immunology 2017, Wang et al. Molecular Cell 2021). More information can be found by visiting the lab website:

How to Apply

Send a CV to Dr. Rendong Yang ([email protected])