Broad Institute

The Gupta lab is seeking an independent, highly-motivated PhD-level scientist (<2 years postdoc experience) with a strong background in cell biology and next-generation sequencing techniques to join several new projects funded by the NIH New Investigator Award DP2 HL152423. This five-year project aims to: 1) identify the full set of pleiotropic vascular disease loci, 2) identify the cell types and cell states in which non-coding variants affect gene expression using single cell RNA and ATAC-sequencing, and 3) directly measure the effect of variants using pooled CRISPR perturbation screens in vascular cells.

The Gupta lab at Harvard Medical School and Brigham and Women’s Hospital is dedicated to finding new mechanisms of vascular diseases such as coronary artery disease and stroke using genetics as a guide. We have successfully used genome-wide association studies, exome sequencing, single cell RNA-sequencing, ATAC-seq, and Perturb-seq methods to better understand the cellular processes that contribute to disease.

The successful candidate will be appointed to Harvard Medical School, Brigham and Women’s Hospital and the Broad Institute of Harvard and MIT. We collaborate will several labs at each institution, and the environment will provide the perfect environment to learn cutting edge skills and launch an independent career.

PI: Rajat Gupta, MD

Divisions of Genetics and Cardiovascular Medicine

Brigham and Women’s Hospital / Harvard Medical School

Boston, Massachusetts

Please send a current CV, at least 2 letters of reference, and 1-page (maximum) statement of Research Interests and Career Goals to Raj Gupta. We are a fun and inclusive research group, aspiring to produce top science and scientists through attentive mentoring and access the incredible academic environment of Boston, Harvard Medical School, and the Broad Institute.

Qualifications:

PhD in cell biology, molecular biology, genetics or genomics
Prior research experience in at least two of the following areas: vascular biology, epigenetics, cardiovascular physiology, cellular physiology and next-generation genome sequencing assays especially RNA-seq.
Experience in single cell technologies for transcriptomics, flow cytometry, cellular histology and confocal microscopy/live-cell imaging
Candidates should have a publication record in peer-reviewed journals.
Excellent writing and communication skills, able to work independently and effectively with other members in a productive team.
Experience with R, Python or similar statistical package is helpful, as well as experience with clustering, pathway, genetic and genomic data analyses and bioinformatics.