he Broad is looking for exceptional candidates to join the Precision Cardiology Laboratory. The successful candidates will join an interdisciplinary team of computational biologists, laboratory scientists, and clinicians working together to identify and validate new molecular targets for cardiovascular disease, with the ultimate goal of advancing novel therapeutics to the clinic in collaboration with a strategic industry partner. 

We are currently looking for candidates to take a lead on the analyses of large-scale studies using single-cell RNA sequencing in normal and disease tissue samples from humans and animal models. The candidate will perform analyses of single-cell studies, prioritize potential targets, and collaborate directly with scientists performing experimental research studies at the bench.

Example workstreams include:

• Design and implement methods for single-cell analysis of biological data

• Collaborate with experimentalists and associate computational biologists to develop and apply functional genomics techniques

• Integrate single-cell data with other available genetic, sequencing, and epigenetic datasets to help prioritize potential therapeutic targets and cell types

• Collaborate with Broad Institute single-cell analysis community, Human Cell Atlas group and the Data Sciences Platform

• Design and lead independent projects

• Create scientifically rigorous visualizations, communications, and presentations of results

• Contribute to generation of protocols, publications, and intellectual property

• Maintain and organize computational infrastructure and resources

   

REQUIREMENTS

• Ph.D. in computational biology, genetics, computer science, statistics, mathematics, molecular biology, or related field preferred, but talented applicants of all levels are encouraged to apply

• Demonstrated expertise in statistical methods in single-cell data analysis, including working knowledge of Seurat R package is preferred

• Interest in molecular biology and genomics

• Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java)

• Track record of working on complex problems, and ability to integrate data from multiple disciplines

• Strong interpersonal, influencing, and collaboration skills to work in a team-oriented, matrix environment, and the ability to work through conflicts

• Outstanding verbal and written communication abilities

• Ability to adapt to and effectively manage changes in a fast paced and dynamic environment

• A passion for science and sense of urgency to find new medicines to benefit patients