A postdoctoral research associate position is immediately available in the lab of Dr. Jinghui Zhang, Chair of the Department of Computational Biology, for a highly motivated candidate to investigate 3D genome architecture in pediatric cancer. The candidate with be part of the 3D Genome Collaborative Research Consortium formed by distinguished researchers at St. Jude, Dana-Faber Cancer Institute, and MIT. The candidate will be developing innovative methods and perform analysis for discovery of cis-regulatory variants and for investigating heterogeneity in 3D genome architecture at the level of single cell. The appointment will be for 2-5 years, depending on the candidate’s goals, qualifications, and productivity. Recognized as a world leader of genomic research in pediatric cancer, the Zhang lab has led the characterization of the genomic landscape for over 20 subtypes of pediatric cancers with high-impact publications in Nature, Nature Genetics, Nature Methods, JAMA, Cancer Cell, and NEJM in the last five years. The lab has a well-established track record of developing and publishing novel and high-impact analytical and visualization tools for cancer genomic research. Research in the lab is facilitated by access to the wealth of high-quality data, state-of-art high performance computing facility, robust analytical pipelines, latest laboratory technology and scientific expertise in genomics, cancer biology, and mathematics and computer science.
The successful candidate is expected to have a strong interest in pursuing an academic career with solid training in bioinformatics methods development and/or data analysis. Additional training and experience in epigenetics and cancer biology are preferable. The candidate is expected to be a critical thinker, a quick learner for new analytical approaches, and capable to apply or develop novel computational methods for solving complex problems. Candidate must have a doctoral degree (PhD or MD), a good publication record, and an interest in writing manuscripts and presenting data publicly.
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