Job: Bioinformatics Data Scientist and Postdoctoral Fellow - Xing lab @ CHOP
gravatar for Jeremy Leipzig
22 months ago by
Philadelphia, PA
Jeremy Leipzig19k wrote:

Dr. Yi Xing’s lab ( at the Children’s Hospital of Philadelphia (CHOP) and the University of Pennsylvania (Penn) has multiple openings for Bioinformatics Data Scientist or Postdoctoral Fellow. Our lab is broadly interested in computational biology and genomics of RNA processing and regulation, as well as their applications to human genetics and precision medicine. We develop computational and statistical methods for analyzing transcriptome complexity and alternative mRNA isoform variation using high-throughput technologies (Genome Biology, 2013; PNAS, 2014; Nature Communications, 2016; Nature Methods, 2016; Genome Biology, 2017; Nature Communications, 2018). We also use computational and genomic methods to elucidate RNA regulatory networks in health and disease (Cell Stem Cell, 2014; Molecular Cell, 2014; Neuron, 2014; Elife, 2015; Genome Biology, 2016; Cell Reports, 2016; American Journal of Human Genetics, 2018).

Ongoing research topics include but are not limited to: computational methods for transcriptome analysis using second- and third-generation sequencing technologies; technologies and computational methods for analyzing RNA processing and modifications using low-input or single-cell samples; studies of RNA regulatory networks in health and disease using large-scale RNA-seq data and protein-RNA interaction profiles; genetic variation and evolution of transcriptome regulation and RNA processing; clinical RNA-seq technologies for disease diagnosis or early detection; multi-omic and clinical data integration for precision oncology and cancer immunotherapy.

We are looking for enthusiastic candidates with outstanding research experience and publication record. We offer job titles and competitive salaries commensurate with experience. The successful candidates will work in an integrated computational and experimental research environment. She/he will develop new computational methods and bioinformatics tools for studying transcriptomic and proteomic complexity in human cells, and for applications to a wide range of biomedical fields including immuno-oncology and cancer immunotherapy.

Interested candidates should send a CV and names of three referees to Dr. Yi Xing, at For more details of the lab, please visit

To apply visit:

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