Benaroya Research Institute (BRI) is an internationally recognized medical research institute and a leader in understanding and resolving immune-mediated diseases. We are committed to predicting, preventing, reversing, and curing diseases of the immune system such as type 1 diabetes, rheumatoid arthritis, inflammatory bowel disease, multiple sclerosis, allergy and asthma. Our diverse team of researchers works together to accelerate discoveries through laboratory breakthroughs that translate into clinical therapies.
We currently are recruiting for an outstanding data scientist to join our bioinformatics group. This group at BRI collaborates closely with bench scientists and clinical researchers to understand how the immune system functions in health and disease. We strive to be involved throughout the research process, from project planning and experimental design, through data collection and quality assessment, to analysis and interpretation. By collaborating with researchers, we combine our knowledge bases, generate creative solutions, and leverage institutional knowledge to ensure best practices. In short, we work together to get the best results.
As a member of our team, you will develop creative approaches at the intersection of data collection, integration and analysis. You’ll work with a range of genomic, cellular, and clinical data types, adding statistical rigor to the experimental process. The ideal candidate will be enthusiastic about using data science and bioinformatics approaches to further our vision of a healthy immune system for every individual.
Strong analytical skills, proficiency in a modern programming language used in data science (e.g. R, Python, SAS, Matlab, Scala, Java, C++), excellent communication, and time management skills, and the ability to work in both a collaborative environment and independently. Experience in the biological sciences and bioinformatic analysis of high-throughput “-omics” data is preferred but not required. Rank/position will be contingent on relevant education and experience.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.