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Job ID: 161879

Staff Research Associate 1 (9613C) 17928
University of California, Berkeley

Date Posted Jul. 10, 2021
Title Staff Research Associate 1 (9613C) 17928
University University of California, Berkeley
Berkeley, CA, United States
Application Deadline Open until filled
Position Start Date Available immediately
  • Research Scientist/Associate
  • Biology - Computational
    Biology - Neuroscience/Neurobiology
    Computer/Information Sciences

Staff Research Associate 1 (9613C) 17928

About Berkeley

At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.

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

Departmental Overview

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.

Required Qualifications
  • 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.

Preferred Qualifications
  • 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:

How to Apply

Please submit your cover letter and resume as a single attachment when applying.

Other Information

We are hiring for 2 full-time (40-hours per week), career positions.

This position is governed by the terms and conditions in the agreement for the Research Support Professionals Unit (RX) between the University of California and the University Professional and Technical Employees (UPTE). The current bargaining agreement manual can be found at:

Equal Employment Opportunity

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, or protected veteran status. For more information about your rights as an applicant see:
For the complete University of California nondiscrimination and affirmative action policy see:

To apply, visit


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