DESCRIPTION

A collaborative computational postdoctoral training position based at the Broad Institute of MIT and Harvard is available. The position will be jointly mentored by Alex Meissner (https://www.molgen.mpg.de/3661839/Alexander_Meissner) and Martin Aryee (http://aryee.mgh.harvard.edu). We are seeking a recent or prospective doctoral graduate with a background in biostatistics, statistics, computational biology or a related quantitative field. The successful applicant will work to develop novel epigenomics analysis methodology and will also be expected to lead data analysis efforts for specific biology-focused research projects of interest to the candidate. Our current efforts are centered on questions in embryonic development and cancer, with major foci including single-cell epigenomic analysis and tools for 3-dimensional genome topology analysis. The ideal candidate will have an interest and background both in developing statistical methodology for genomic data and in pursuing scientific research questions in biology. The work will involve frequent interaction with biologists, clinicians, statisticians and other quantitative scientists. The Fellow will be a Broad Institute employee and will have an additional appointment at Massachusetts General Hospital.

REQUIREMENTS

Qualifications: The position requires a PhD or equivalent degree, a high degree of self-motivation and excellent written and verbal communication skills. Expertise in statistical analysis of epigenomic data is desirable but not required.

LOCALE

Cambridge, MA (Boston area)

HOW TO APPLY

Please contact Martin Aryee (aryee.martin[at]mgh.harvard.edu) for further details.

DEADLINE

Open