Bioinformatics Postdoctoral Position at St. Jude Children’s Research Hospital
A postdoctoral position is available immediately for a highly motivated candidate to develop computational and systems biology approaches for integrative analysis of large-scale datasets in cutting-edge proteomics and genomics. The candidate will be trained in the labs of Dr. Junmin Peng in collaboration with the Department of Computational Biology. The successful applicant will work in a dynamic environment, performing integrative analysis of multidimensional datasets, with a focus on mass spectrometry-based profiling of proteome, posttranslational modifications, and metabolome from clinical disease samples and mouse models, providing novel therapeutic strategies for disease treatment. The overarching aim is to develop novel bioinformatics approaches to provide critical insights into disease pathogenesis and therapeutic intervention, as well as biomarker discovery for precision medicine (https://www.stjude.org/peng). Our publication record is available on Google Scholar (180+ publications, 22,000+ citations, http://scholar.google.com/citations?user=vFzS-awAAAAJ&hl=en).
St. Jude provides a highly interactive and supportive environment for researchers’ career development, and has been named to Glassdoor’s Best Places to Work 2018. St. Jude is a top ranked hospital (#1 for pediatric cancer specialty in U.S. in 2017) and a world-class basic research institute with 260+ faculty members. St. Jude postdoctoral fellows are provided with a highly competitive salary (median $55,000) in an affordable city, a professional development allowance ($2,500), and an array of benefits, including sign-on bonus ($3,000), health, dental and vision coverage, and a retirement program.
The candidate shall have a strong background in bioinformatics, computational biology, systems biology, biomedical informatics, computer science, biostatistics or a related field. The candidate is expected to be a critical thinker, a quick learner for new analytical approaches and capable to develop novel computational methods for solving complex problems. Prior experience on using bioinformatics to analyze high-throughput genomics and proteomics data is preferred. Experience working in UNIX and LINUX environments and programming experience in R or Python are required. Candidate must have an excellent publication record. Please submit CV, three references, a statement describing doctoral work and future research interests to Dr. Junmin Peng (email@example.com).