The overall research in the department continues to connect modern biochemistry and genomic discoveries to translational medicine, leading to a unique multidisciplinary research program in biochemistry and molecular medicine
The Department of Bioinformatics and Computational Biology at Genentech is one of the largest bioinformatics research groups with a remarkable breadth and depth of expertise, a strong team environment, deep links to our research colleagues, and a uniquely strong opportunity to help develop breakthrough new medicines.
Candidates should have a doctoral degree and at least one first-author paper published or accepted in a peer-reviewed journal, with technical expertise in techniques like x-ray crystallography, SPR, ITC, DSF, cloning, expression, purification and characterization of proteins.
Support early career scientists who are interested in GNSS remote sensing and would like to begin their career working within a group of scientists with research interests ranging from new retrieval technology, space weather, numerical weather prediction, and climate processes.
This role requires the development of an expert level understanding of advanced materials characterization techniques, in-depth knowledge of fragrance and flavor delivery systems and a proven track record of problem solving skills.
Our laboratory is interested in many areas of scientific inquiry including stem cell biology, skeletal development, bone marrow microenvironment in hematopoiesis, cancer biology, cardiopulmonary vascular biology and aging biology.
Designs research study and protocols. This involves creating detailed time-lines, meeting with faculty and staff collaborators, planning for technical and data support, and refining survey and interview instruments if necessary.
The successful candidate will work independently within a diverse collaborative group and will combine biochemical, cell biological and in vivo experimental approaches to understand the functional immunological processes related to autoimmunity.
The research will focus on implementing quantitative approaches and cutting edge instrumentation to probe post-translational signaling networks, with an emphasis on the ubiquitin system, cancer signaling pathways and cell death regulation.