Post-doctoral Scholar- Biomedical Data Science
The Bouchard lab at UC Berkeley/LBNL/UCSF and the Ferguson lab at UCSF are looking for a post-doctoral scholar in biomedical data science. This position has the opportunity to analyze diverse data sets from clinical neuroscience (e.g., MRI, clinical data). The broad goal is to extract biomedical insights from complex datasets utilizing state-of-the-art algorithms towards prediction of diverse outcomes. Examples include prediction of traumatic brain injury outcomes as well as educational outcomes of young children in financially disadvantaged countries. The post-doctoral scholar would be co-mentored by Adam Ferguson and Kris Bouchard.
The position is located at the University of California, Berkeley (UCB), the University of California San Francisco (UCSF), and the Lawrence-Berkeley National Laboratory (LBNL). This collaboration leverages UCSF’s world-renowned clinical knowledge and data, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, and LBNL's unique supercomputing resources. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.
The position has significant flexibility and the lab is committed to the professional development of the members, providing valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be in June 2023. Compensation will be commensurate with relevant experience. UCB has competitive benefits and is an equal opportunity employer. UCB is located in the Bay Area, which is one of the fastest-growing neurobiology-neurotechnology centers in the United States. The Bay Area offers a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation.
Applicants should have a Ph.D. (or equivalent degree) in neuroscience or a computational oriented field (e.g., physics, computer science, electrical engineering, data science, etc.,) and/or a track record of applying advanced statistical analysis to complex data sets. Applicants must be able to work in a collaborative, multi-disciplinary environment and exhibit good communication skills. Experience with scientific programming languages (e.g. Python, Matlab) is also required.
To apply, please submit your CV to:
kebouchard@berkeley.edu and Adam.Ferguson@ucsf.edu
