Job posting has expired
Biostatistics Research Specialist
University of California - San Francisco | |
United States, California, San Francisco | |
January 08, 2024 | |
Application Window Open date: July 27, 2022 Most recent review date: Friday, Dec 9, 2022 at 11:59pm (Pacific Time) Final date: Saturday, Jan 27, 2024 at 11:59pm (Pacific Time) Position description University of California, San Francisco We are searching for a biostatistics research specialist to start in Fall 2022. This position is available to study machine learning and biomedical imaging datasets such as high-content cellular screening (HCS) data and/or pathology whole slide images (WSI). The person in this position will work closely with our deep learning, image analysis, and relevant domain team members and established collaborators. This position will be part of a collaborative environment with access to state-of-the-art facilities in the Sandler Neurosciences Building on the UCSF Mission Bay campus. This specialist will work on the processing and analysis of a digital bioimage dataset, the technical preparation of the dataset for machine learning (ML), and the deployment of trained ML models for active research and discovery. The work will progress through the use of the dataset to train, optimize, and critically evaluate convolutional neural network (CNN) models that score entire libraries of small-molecule compounds screened via existing HCS efforts by means of the multichannel microscopy images collected for each compound. We will focus in particular on screens that model neurodegenerative cellular phenotypes, such as the cell-to-cell propagation of alpha-synuclein and/or tau prion aggregates. A secondary alternative research need would instead be to analyze characteristic protein aggregates, such as formed by beta amyloid or tau, in neuropathological immunohistochemically stained WSI datasets, using a range of similar ML and analysis approaches. The person in this position will be responsible for successfully performing analyses including the following methods: mathematical modeling, statistical learning, image analysis, unsupervised learning, data augmentation, k-fold validation, PCA or other dimensionality reduction, deep learning, semi-supervised learning, ROC and precision-recall curves, and data visualization. Required qualifications: Preferred qualifications: Please apply online at https://aprecruit.ucsf.edu/JPF04040, with a CV and two references. Appointees in the Specialist series will be expected to engage in specialized research, professional activities and do not have teaching responsibilities. Specialists are expected to use their professional expertise to make scientific and scholarly contributions and may participate in University and Public Service. Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary and rank will be commensurate with the applicants experience and training. See Table 24B (https://www.ucop.edu/academic-personnel-programs/_files/2022-23/july-2022-salary-scales/t24-b.pdf) for the salary range for this position. A reasonable estimate for this position is $49,000-$173,900. Application Requirements Document requirements
Reference requirements
About UC San Francisco As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. Job location San Francisco, CA
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