Benaroya Research Institute at Virginia Mason (BRI) is an internationally recognized medical research institute committed to finding a cure for autoimmune and immune-mediated diseases, through a combination of basic and translational research programs. This means you can contribute to scientific advances that have a direct impact on people afflicted with these diseases, including type 1 diabetes, rheumatoid arthritis, multiple sclerosis, allergies and asthma.
BRI research leadership has identified Bioinformatics as a key enabling technology, so there is broad and strong support for the analysis, and visualization of research data.
GENOMIC ANALYSIS OF IMMUNE CELLS IN RESPONSE TO THERAPY IN CANCER AND AUTOIMMUNE DISEASE. Come join our team and help fight immune diseases!
The Linsley Lab is broadly engaged in basic and applied studies using complex systems theory, high throughput techniques as well as mathematical and computational tools to understand the functioning of the immune system in health and disease. The group works closely with informaticians and immunologists in many groups at BRI, resulting in a rich environment for quantitative, computational, and laboratory collaborations in immune disease research. Funding is available for two years, contingent upon periodic reviews, with an expectation of extension and expansion. Opportunities for training, conference attendance and publication are available.
We need an individual to apply cutting edge big data approaches to study of the human immune system. We believe that understanding how the immune system is broken in diseases like cancer and autoimmunity will lead to better patient care. We are looking for a highly motivated and creative individual who enjoys working in a multidisciplinary team-oriented environment to use Systems Biology approaches to help discover new mechanisms, biomarkers and therapies for immune diseases.
The Linsley Lab at BRI is seeking a Postdoctoral Research Associate. This individual will drive projects involving RNA-seq profiling (single cell and bulk), and/or cytometry (flow and mass) to elucidate the role of immune cells in response to therapy of autoimmune disease and cancer.
- Strong academic record and history of productivity
- Knowledge of modern experimental biological science.
- Fundamental understanding of the application of statistics to scientific data.
- Experience with statistical tools (R, SAS, Matlab) and/or scripting or higher-level programming languages (Shell, Python, Perl, Java).
- Strong interpersonal, verbal, and written communication skills
A successful candidate for this position will have a Ph.D. degree in bioinformatics, biostatistics, or life science, with a strong understanding of the principals of biology and bioinformatics.
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.