Research Support - Laboratory/Non-Laboratory, Staff/Administrative
Staff Research Associate 1 (9613C) 17928
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We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles, our Principles of Community, and our Strategic Plan.
Application Review Date
The First Review Date for this job is: May 19, 2021
The Helen Wills Neuroscience Institute (HWNI) was established in 1999-2000 to provide nexus for the multidisciplinary research being conducted by neuroscientists campus-wide. The institute provides administrative and research support to these faculty, to the Neuroscience Graduate Program and to several Technical Centers and Organized Research Units (ORU's): the Institute of Cognitive and Brain Sciences (ICBS), the Functional Genomics Lab (FGL), the Brain Imaging Center (BIC), the Molecular Imaging Center (MIC) and the Redwood Center for Theoretical Neuroscience.
The successful candidate will serve as the key staff member responsible for data management and data analysis of PET imaging data obtained as part of a multicenter clinical trail.
The successful candidate will report to the lab Principal Investigator, and will interact with students, postdoctoral fellows and other individuals who are part of the lab. The primary focus of this individual's work will be the analysis of brain imaging data obtained using the techniques of positron emission tomography (PET), Magnetic Resonance imagine (MRI) and functional MRI (fMRI). The individual will work with images obtained for a large multicenter study, the Alzheimers Disease Neuroimaging Initiative (ADNI) and data collected in the Berkeley Aging Cohort Study (BACS). The individual will use existing software and will also modify existing software and scripts to extract quantitative data, perform statistical hypothesis testing, and generate reports.
Download and collate data from multiple databases
Work with other researchers and principal investigator to develop analysis plan and explore data
Assemble data into datasets suitable for analysis
Use existing software and modify existing software to extract quantitative data from a variety of image types
Use standard statistical software to perform statistical hypothesis testing
Prepare reports in written and graphical forms.
Familiarity with matlab and/or python or other programming languages.
Familiarity with statistics, and statistical software such as SPSS, or R.
Familiarity with multiple operating systems, especially Linux/Unix.
Strong organizational skills, detail-oriented, good record-keeping.
Ability to work independently and reliably.
Good interpersonal skills and communication ability.
BA or BS preferably in neuroscience, computer science, or engineering related fields and/or equivalent experience/training.
Experience with human subjects research.
Experience in working with PET or MR or other medical images.
Some experience working the databases.
Salary & Benefits
This position is a non-exempt, bi-weekly paid position. Hourly pay for this role is commensurate with experience.
For information on the comprehensive benefits package offered by the University visit:
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The University of California was chartered in 1868 and its flagship campus - envisioned as a "City of Learning" - was established at Berkeley, on San Francisco Bay. Today the world's premier public university and a wellspring of innovation, UC Berkeley occupies a 1,232 acre campus with a sylvan 178-acre central core. From this home its academic community makes key contributions to the economic and social well-being of the Bay Area, California, and the nation.