Rapidly analyze and interpret new types of data Learn best practices for analyzing many types of genomic data Work closely with biologists to interpret and validate exciting findings Prepare written reports and oral presentations for internal use and publication Requirements M.S. or M.A. in Computational Biology, Bioinformatics, Computer Science, or Mathematics; or B.S. o

The Lage Lab at the Stanley Center for Psychiatric Research and Novo Nordisk Foundation Center for Genomic Mechanisms of Disease is seeking a Computational Postdoctoral Associate to join our team. Our team generates and analyzes functional genomics data in human cellular models to study diseases of major public health significance, including psychiatric and metabolic diso

The Broad Institute of MIT & Harvard is looking for outstanding postdoctoral scholars to join the laboratory of Ralda Nehme, at the .Based on unprecedented insights into the genetic basis of psychiatric diseases, the Nehme lab aims to uncover key disease mechanisms using human stem cell derived models. The successful candidate will join a multidisciplinary group and perfo

Stakeholder Collaboration Acts as a liaison between Facilities and the scientific community, fostering a culture of data driven decision making around space allocation and management. Operates in manner consistent with Broad's culture of experimentation and collaboration Influence & Communication Uses exceptional communication skills to influence key stakeholders in favor

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