Postdoctoral Fellow / Staff Scientist - Park Lab

Harvard Medical School
Biomedical Informatics
United States Massachusetts Boston


Applications are invited for multiple positions in the Park laboratory ( in the Department of Biomedical Informatics at Harvard Medical School. There are openings for postdoctoral research fellows, staff scientists (those with a PhD), and associate computational biologists (recent college graduates).

The aim of the laboratory is to develop and apply innovative computational methods for genome sequencing data to enhance our understanding of cancer genetics and neurogenetics. In particular, we are interested in development and application of methods for mosaic mutations in non-cancer tissues, in our role as the Data Analysis Center for the Somatic Mosaicism across Human Tissues (SMaHT) project, a new $130M Common Fund consortium by NIH.

Recent work from the laboratory includes methods for detection of mosaic mutations from single cell and bulk WGS data (Luquette et al, Nat Genetics, 2022; Dou et al, Nat Biotech, 2020; Bohrson et al, Nat Gen, 2019) and their applications (Luquette et al, Cell, 2024; Bizzoto et al, Science, 2021; Lodato et al, Science, 2018), mutational signature analysis (Gurhan et al, Nat Gen, 2019), and analysis of complex rearrangements in cancer (Lee et al, Nature, 2023; Ciriano-Cortes et al, Nat Gen, 2020). Some areas of methodological interest include algorithms for mutation analysis using long-read data, mutational signature analysis for cancer/brain samples, and analysis of repetitive elements including transposable elements and tandem repeats. Located in the Harvard Longwood Medical Area, we have the privilege of collaborating with world-class biologists and clinicians.

An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as excellent programming and communication/writing skills. Experience in analysis of high-throughput sequencing data is highly desirable. Those without a bioinformatics background but have exceptionally strong quantitative (math/physics/stat) training will also be considered.

The successful candidates will join a group of friendly, collaborative, and productive computational biologists. Many of our fellows have gone on to faculty positions at top institutions.


Start date

As soon as possible

How to Apply

Please send your CV with [POSTDOC], [Staff], or [ACB] and your name in the subject line. A research statement that demonstrates one's expertise in an area is helpful but not required.


Peter Park