University of California, San Francisco Institute for Neurodegenerative Diseases
We are searching for a biostatistics research specialist to start in Summer 2017. This position is available to study protein target identification and deconvolution in cell-based phenotypic screening datasets. The person in this position will work closely with our chemical informatics, machine learning, and drug screening team members and established collaborators. This position will be part of a collaborative environment with access to state-of-the-art facilities in the new Sandler Neurosciences Building on the UCSF Mission Bay campus.
This specialist will be responsible for development and testing of statistical and/or machine learning methods to identify protein target mechanisms of action for small-molecule compounds active in completed and ongoing phenotypic screens. In addition, the specialist will be responsible for coordinating experimental testing of these predictions with screening collaborators. This person will be responsible for identifying potential problems with existing approaches to this project, forming a draft plan for addressing these, and promptly communicating these to her/his supervisor. Additionally, this person will be expected to propose and develop new methods of analysis and validation for these computational efforts as needed, as the project progresses.
The person in this position will be responsible for successfully performing analyses including the following methods: mathematical modeling, statistical learning, multivariate analysis, bootstrapping, inference in high-dimensional spaces, unsupervised learning, Bayesian methods, maximum likelihood estimation, k-fold validation, PCA, machine learning such as random forests and/or SVM, ROC and precision-recall curves, and data visualization.
Required qualifications: • Specialists appointed at the junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of research experience (e.g., with instrumentation and research equipment, social science research methods, or creative activities). • Specialists appointed at the Assistant rank must possess a master’s degree (or equivalent degree) or five years of experience in the relevant specialization. • Specialists appointed at the Associate rank must possess a master’s degree (or equivalent degree) or five to ten years of experience in the relevant specialization. • Specialists appointed at the full rank must possess a terminal degree (or equivalent degree) or ten or more years of experience in the relevant specialization. • One-year time commitment, with possibility of extension. • Demonstrated experience in python programming. • Ability to work with sklearn, pandas, and related python libraries. • Background in mathematics, computer science, physics, and/or statistics.
Preferred qualifications: • Experience in neurodegeneration and/or cancer biology. • Experience with drug discovery research and/or assay development, robotics. • Experience with linux, virtual machines, and cloud or cluster processing. • Experience with code versioning, management, tracking, and testing tools such as github and continuous integration.
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.
UC San Francisco seeks candidates whose experience, teaching, research, or community service that 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.
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.