The aim of the Park laboratory is to develop and apply innovative computational methods for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases.
Areas of interest include identification of mosaic mutations in non-tumor cells and application to lineage tracing, characterization of structural alterations in WGS data, development of new algorithms for mutational signature analysis, and analysis of repetitive elements including transposable elements and tandem repeats. As the Data Analysis Center for a new consortium, we have access to a large amount of Illumina/PacBio/Nanopore data for exploring somatic mosaicism in human tissues
An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming and communication skills. Experience in analysis of high-throughput sequencing data is highly desirable. The successful candidates will join a group of supportive and productive computational biologists and have an opportunity to collaborate with world-class biologists in the Harvard medical area. Many of our fellows have gone on to faculty positions at top institutions, including four at Harvard.
Several positions are available immediately in the Park Lab (compbio.hms.harvard.edu/)
Please send your CV with '[POSTDOC]' and your name in the subject line to peter_park@hms.harvard.edu Junior analyst and bioinformatics scientist positions are also available. Several positions are available immediately in the Park Lab (compbio.hms.harvard.edu/)