Postdoc/programmer/data curator in computational genomics - Park lab

Harvard Medical School
Department of Biomedical Informatics
United StatesMassachusettsBoston
compbio.hms.harvard.edu

Description

Applications are invited for multiple positions in the Park laboratory (compbio.hms.harvard.edu ) in the Department of Biomedical Informatics at Harvard Medical School. The aim of the laboratory is to develop and apply innovative computational methods for genome sequencing data to enhance our understanding of cancer genetics, neurogenetics, and epigenetics.

Recent work from the laboratory includes methods for detection of mosaic mutations from single cell and bulk WGS data (Dou et al, Nat Biotech, 2020; Bohrson et al, Nat Gen, 2019) and their applications (Bizzoto et al, Science, 2021; Lodato et al, Science, 2018), mutational signature analysis (Gurhan et al, Nat Gen, 2019), and analysis of chromothripsis events across cancers (Ciriano-Cortes et al, Nat Gen, 2020).

1) Postdoctoral fellows:

Multiple positions are available immediately. Areas of interest include
- methods for identification of mosaic mutations in non-tumor cells
- mutational signature analysis
- Cancer Research UK “Grand Challenge” on why cancer mutations are tissue type-specific
- analysis of repetitive elements and 3D genome organization

An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as excellent programming and communication skills. Experience in analysis of high-throughput sequencing data is highly desirable. Those without bioinformatics experience but have a very strong quantitative (math/physics/stat) background will also be considered. The fellows are given considerable freedom to pursue their research interests.

The successful candidates will join a group of supportive and productive computational biologists and have an opportunity to collaborate with world-class biologists and clinicians in the Harvard medical area. Many of our fellows have come from abroad, including Germany, Italy, Spain, England, Sweden, Australia, Korea, and China; many have gone on to faculty positions at top institutions, including three at Harvard.

2) Junior scientific programmers:

One or two positions are available for those who finished college and are looking for research experience before going on to graduate or medical school. They will assist postdoctoral fellows with various research projects and, if desired, engage in their own research. The past programmers have gone on to graduate schools at Harvard, MIT, Stanford, and Oxford as well as medical schools.

3) Data Curator

We are seeking a motivated Data Curator to become a key part of the 4D Nucleome Data Coordination and Integration Center (data.4dnucleome.org/help/about/about-dcic ). The ideal candidate has a strong background in molecular biology and experience working with sequencing data. They enjoy coding and being involved in software development, and have a penchant for data/metadata management and organization. More information at compbio.hms.harvard.edu/position

4) Bioinformatics Scientist

We are also seeking a staff bioinformatics scientist to be part of the 4D Nucleome Data Coordination and Integration Center (data.4dnucleome.org/help/about/about-dcic ). This individual will implement, test, and optimize various bioinformatics pipelines for processing epigenetic and other datasets on Amazon Web Services. Postdoctoral experience is desirable but not required.

5) Software engineers:

We are hiring software engineers interested in using their skills to help build a whole-genome analysis platform for researchers and physicians. Experience in bioinformatics is helpful but not required; experience with AWS or other cloud platforms is desirable. International applicants with at least a master’s degree are welcomed; remote work is a possibility.


Qualifications


Start date

As soon as possible

How to Apply

Please send your CV and a short description of your interest in the position.


Contact

Peter J Park
peter_park@hms.harvard.edu