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 and largest 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.
The Kublin Lab within the Vaccine and Infectious Disease Research Division is seeking an experienced Staff Scientist to work on a project investigating the role of the microbiome on vaccine-induced immunity. We are interested in how the gut microbial and immune systems communicate to shape immune responses to HIV vaccines and contribute to vaccine response heterogeneity. We will unravel mechanisms of immunity by perturbation of the immune system and the microbiome — the immune system via multiple adjuvanted immunization regimens and the microbiome by gut microbial reconstitution in germ free mice; and we will conduct metabolomics case-control analyses from select human and mouse samples. The candidate must have 3-5 years of experience, organized, self-motivated, and able to efficiently manage time and experiments. The incumbent will provide analytical support of the extensive clinical and mouse microbiome and immunogenicity data, assist in managing the lab, and will work under the leadership of the PI.
To be considered, candidates should have:
• A PhD in computational biology, biostatistics, molecular biology, immunology, microbiology, or a related field
• 3-5 years of related experience.
• Preference will be given to candidates with extensive experience in microbiology, immunology, with a background in computational biology and/or bioinformatics.
• The individual will work with a group of 5 to 7 people engaged in pre-clinical mouse modeling study, assist in managing the lab, and engage in data analysis and informatics.
• Expertise in genome-scale metabolic modeling, comparative genomics, phylogenetics, and/or transcriptomics desirable.
• Familiarity with high-throughput gene annotation, 16S rRNA gene amplicon sequencing analysis, and preferably some experience with Python, R, and/or bash.
• Outstanding organizational skills, attention to detail, and reliable record keeping are essential.
• The ability to manage personnel and take responsibility for laboratory effectiveness.
• Effective communication and interpersonal skills for successful interaction with the laboratory staff and communicating with outside collaborators including scientific presentations.