Job Description DESCRIPTION We are seeking experimental research associates to join a new team at the Broad Institute to build a Human Gene Regulation Map. This effort, led by Institute Director Eric Lander, will seek to understand the fundamental wiring of the noncoding genome and build a reference atlas for discovering biological mechanisms on common genetic diseases. We are looking for highly motivated individuals with experience in high-throughput genomics and/or stem cell biology to join this team, which will make fundamental discoveries in mapping regulatory DNA in various cell types and tissues, understanding cellular programs, and developing new tools to uncover mechanisms of disease. This team will develop and apply technologies combining CRISPR, single-cell measurements, and epigenomic tools in human cells and tissue to understand genetic regulation in health and disease. The Lander Laboratory is a dynamic, innovative and interdisciplinary workplace and is seeking to hire an exceptional scientist who will work closely both the Lander Lab and collaborators throughout the Broad community in this next foundational project to understand the human genome. CHARACTERISTIC DUTIES Collaborate with experimentalists and computational biologists to develop and apply functional genomics techniques Design and implement generalizable algorithms and tools for analysis of biological data, including high-throughput functional genomics assays Evaluate and recommend new emerging technologies, approaches, and problems 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 QUALIFICATIONS Suggested: B.S. in computational biology, computer science, physics, statistics, math, molecular biology, or related field. Talented applicants of all levels are encouraged to apply. Demonstrated expertise in statistical methods in data analysis, preferably with applications to high-throughput sequencing or other biological assays Enthusiasm for using computational approaches to learn fundamental mechanisms of gene regulation and understand human disease Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java) Excellent communication, organization, and time management skills Creative, organized, motivated, team player #LI-DNP All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
