Applications are invited for multiple postdoctoral positions in the laboratory of Prof. Peter Park 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 mutations from single cell WGS data (Bohrson et al, Nat Gen, 2019; Luquette et al, Nat Comm, 2019; Lodato et al, Science, 2018) and mosaic mutations from bulk WGS data (Dou et al, Nat Biotech, in press), mutational signature analysis for cancer panels (Gurhan et al, Nat Gen, 2019), and analysis of chromothripsis events (Ciriano-Cortes et al, Nat Gen, in press).
Current openings are in the following areas:
- mutational signature analysis (multiple collaborations with oncologists)
- Cancer Research UK “Grand Challenge” on why cancer mutations are tissue type-specific
- analysis of multi-platform cancer genomics data for a rare cancer
- therapeutics for rare diseases using antisense oligonucleotides (Kim et al, New England Journal of Medicine, 2019).
- analysis of repetitive elements and transposable elements
The successful candidates will join a group of supportive, collaborative, and productive computational biologists and have an opportunity to collaborate with world-class biologists in the Harvard medical area. Our fellows have gone on to faculty positions at top institutions, including Harvard (3), Chicago, EBI, IFOM, Peking, and many others.
An ideal candidate will have a PhD in computational biology/bioinformatics/computer science/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. We are particularly interested in hiring at least one fellow with a rigorous statistics background. 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. Due to the number of applications, I am unable to respond to those who do not articulate their motivation for applying to my laboratory.