Applications are invited for multiple postdoctoral positions in the laboratory of Prof. Peter Park in the Department of Biomedical Informatics (dbmi.hms.harvard.edu ) at Harvard Medical School.
The long-term goal of the laboratory is to develop and apply innovative computational methods to enhance our understanding of cancer genetics, neurogenetics, and epigenetics. Recent work from the laboratory include methods for detection of mosaic mutations from single cell and bulk WGS data (Bohrson et al, Nat Gen 2019; Dou et al, Nat Biotech 2020), mutational signature analysis (Gurhan et al, Nat Gen 2019), and analysis of chromothripsis events in cancer (Cortes-Ciriano et al, Nat Gen 2020). In addition to methodological work, we collaborate with several renowned experimental laboratories in the Harvard Medical Area, e.g., mosaic mutations in the brain (Lodato et al, Science 2015, 2018; Bizzotto et al, Science 2021).
Current openings are in the following areas:
- Development of computational methods for single cell DNA sequencing data, mutational signature analysis, and repetitive elements.
- Integrative analysis of genomic data to better under tissue type-specificity of cancer drivers (cancergrandchallenges.org/teams/specificancer )
- Integrative analysis of Hi-C and other 3D chromosomal interaction data as part of the 4D Nucleome Data Integration and Coordination Center (data.4dnucleome.org )
- Therapeutics for rare diseases using antisense oligonucleotides
Also available are (i) scientific programmer positions for recent college graduates and (ii) bioinformatics staff scientist positions for developing a cloud-based genome analysis platform.
The successful candidate will join a group of supportive and productive computational biologists and software developers. Many of our past fellows have gone on to faculty positions at top institutions. If there are relocation/visa issues due to the pandemic, remote work may be possible in the interim. An ideal candidate will have a PhD in bioinformatics/computer science/physics/statistics or another quantitative field, as well as excellent programming and communication skills. Substantial experience in analysis of high-throughput sequencing data is highly desirable. Those with an outstanding record in a quantitative field without significant exposure to biology may also be considered.
Please send your CV and pdfs of your best paper(s) with '[POSTDOC]' and your name in the subject line . A research statement that demonstrates one's expertise in an area is helpful.