Welcome to the application page for postdoctoral positions in the SNAP group!
We are seeking highly motivated postdoctoral researchers with a computer science background to join our group in a quest to go after human disease with radically new approaches.
You will develop and implement innovative computational approaches to help solve big problems in biology and medicine. The broad aim of research is to develop machine learning and data mining approaches and use them for prevention, diagnosis, and treatment of disease. This involves tackling genetic and molecular data, comprehensive medical record information, and survey data on lifestyle and health issues to determine how genetic and environmental factors play a role in health and disease. Successful candidates will be working in a collaborative environment with world's leading experimental and computational researchers at Stanford University and with Chan Zuckerberg Biohub investigators to pursue bold, innovative, and impactful ideas in genomics and health care.
Biomedical topics of interest include, but are not limited to: phenotype prediction from molecular data and health records, the analysis of patient trajectories, the systematic discovery of human disease trajectories, analysis of multimodal biomedical networks, characterization of how multilayer/multiscale nature of networks affects processes and dynamics of disease progression, causation, and classification. Machine learning topics of interest include, but are not limited to: learning on graphs, large-scale embeddings in ultra-high-dimensional spaces, deep learning, causal inference.
Candidates should have a strong quantitative background, with a PhD in computer science, bioinformatics, mathematics, statistics, or related fields, and be interested in working in an highly interdisciplinary environment at the interface of machine learning and biomedicine, in particular, in algorithm development for large-scale data analysis problems in biology and medicine. Strong programming skills are required.
Please send us the following materials:
We encourage applicants to also send links to any software or simulations that they have developed. The review of applications will begin immediately and will continue until the positions are filled.
Stanford, one of the world's top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation.
Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission.