Jobs

Work on cutting-edge research projects in Oncology Bioinformatics at Genentech. We develop/apply novel computational concepts to molecular data to understand cancer biology and develop new drugs.

The candidate for this role will have a strong background in computational biology and -omics data analysis, an excitement to contribute to early-stage drug programs, and at least some experience leveraging advanced computational models or machine learning / deep learning frameworks. In this role, you will contribute to basic research in Oncology Bioinformatics, applying these approaches to improve our understanding of molecular dependencies in cancer. Specifically, the successful candidate will be proficient in (or able to learn and adapt to) data analysis, integration, and visualization across diverse -omics platform types (including cutting-edge technologies, such as single-cell and long-read RNA sequencing), and have a strong track-record of contributing to and driving relevant genomic research as evidenced by high-impact publications.

The position is full-time and the candidate is expected to work remotely, but must be located in Canada. Specifically the position can be setup as either fixed-term contract (with renewal) or potentially a permanent FTE position depending on the candidate’s background and preference.

Overview Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.

Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is seeking an experienced Data Scientist to work on multiple projects investigating the immunological correlates of vaccine protection for novel tuberculosis, HIV and COVID-19 vaccine candidates. The immune response to a vaccine can be variable across individuals, particularly for new vaccines that are in active development. Understanding the factors that impact vaccine response and identifying the features of the immune response that confer protection can provide critical feedback for vaccine refinement. As part of the HIV Vaccine Trials Network supported by the NIH Division of AIDS and the Global Health Vaccine Accelerator Program, supported by the Bill and Melinda Gates Foundation we are leading major computational efforts to integrate immunological datasets generated from human vaccine trials. Analysis datasets include those generated by multicolor flow cytometry, transcriptomics/RNAseq, T cell receptor repertoire sequencing, single-cell/CITE-seq, microbiome 16S and metagenomic sequencing, and multiplexed systems serology, among others. With this data we have the potential to understand the immunological mechanisms of vaccines and to accelerate efforts to improve their efficacy and get them to the clinic.