Contribute to high throughput data production efforts by generating large scale cell based assay data in a fast paced, production oriented setting. Perform cell culture on up to 20 cell lines in parallel, with accurate monitoring for contamination and cell line fidelity as well as performing standard molecular biology procedures. Support in maintaining high quality data p

Work with a team of multidisciplinary scientists to deploy gene editing (such as base editing and prime editing), delivery (such as AAV), and protein evolution technologies developed in the lab) Advance current technologies to incorporate new biological and therapeutic models, genotypic readouts, and data acquisition and computational analysis approaches Identify goals, f

About The Broad Institute The Broad Institute is an amazing place we apply our deep knowledge of human genetics to empower a revolution in biomedicine and accelerate the pace at which the world conquers disease. Through our partnerships with MIT, Harvard, and the Harvard teaching hospitals, we've become a worldwide hub of cutting edge biomedical science. About the Lab The

Are you a software engineer who wants to make a difference, transform medicine, and improve human health? The Broad Institute is looking for a passionate Principal Software Engineer to help us build researcher tools that will enable the next decade of scientific discovery in human medicine. The project You'll be working on a full stack team supporting the AllOfUs research

Contribute to experimental workflows for profiling the molecular contents and biological states of thousands of individual cells in brain tissue, contributing to all aspects including planning experiments; creating DNA barcoding reagents; extracting nuclei from human brain tissue; preparing molecular libraries; and high throughput sequencing. Optimize and execute molecula

Apply computational methods to discover and analyze structural variation from long read sequencing of large human genome cohorts. Perform quality control assessments with a deep understanding of the data and the underlying biology. Develop new computational methods and improve existing methods for genomics analyses. Present results to both computational and non computatio