The Computational and System Biology Branch under the Biometric Research Program in the Division of Cancer Treatment and Diagnosis of the National Cancer Institute conducts research on tumor genomics and computational approaches to support the development of new therapeutics and companion diagnostics. We have a well-established training program in computational biology and bioinformatics with one postdoctoral position currently available. The successful candidate will have an opportunity to utilize data generated from various omics technologies including gene expression profiling and next generation sequencing to enhance understanding of cancer pathways and drug responses with the goal to find new molecular targets for anti-cancer therapies. The duties will include analysis, visualization, and management of large genomic data sets from cancer cell lines and/or patient-derived xenograft (PDX) models, which include whole exome sequence data, copy number variation profiles, RNA-seq and gene expression microarray data, and DNA methylation array data; development of computer programs to manage and analyze the data; and running publicly available bioinformatics software.
Qualified candidates should have PhD Degree in Computational Biology, Bioinformatics, Biostatistics, or other related biomedical discipline; substantial hands-on experience in high-throughput data analysis especially for next generation sequencing data; with skill in computer programming or bioinformatics or biostatistics; fluent in R, Unix Shell Scripting, or other computing languages. The individual must be familiar with tools for high-throughput genomic data analysis.
Please send a brief statement of research experience and interest, curriculum vitae, and contact information for three references to: Dr. Yingdong Zhao (zhaoy@mail.nih.gov). Compensation for the position is commensurate with the individual’s qualifications and experience as permitted within the appointment mechanism.