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Assistant, Associate, or Full Professional Researcher – Chang Lab

Recruitment Period

Open date: December 23rd, 2019

Last review date: Tuesday, Jan 7, 2020 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Jun 23, 2021 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


Assistant, Associate, or Full Professional Researcher – Chang Lab
University of California, San Francisco
Department of Neurological Surgery

The Department of Neurological Surgery is seeking a Professional Researcher at the Assistant, Associate, or Full rank in the Professional Research series. The incumbent will help spearhead a number of neurotechnology research and development projects within the Chang Lab in conjunction with associated collaborators within and outside UCSF. Responsibilities include overseeing the development of specialized research resources for human neurophysiology studies and clinical trials for the benefit of the neurotechnology research community at UCSF. Work in this area will include designing the functional specifications for custom databases and data analysis platform software, as well as managing the development, testing and rollout of these critical entities. In this role, the incumbent will undertake a broad spectrum of activities, developing specialized Requests for Proposals, providing technical oversight to the projects, managing collaborator relations (including direct collaboration with engineers performing contracted software development work), and developing and managing regulatory strategy. Responsibilities will also include senior research roles on two complex clinical trials of implanted brain stimulation devices spearheaded by faculty. Here, the incumbent will advise on and contribute to data-collection and data-analysis activities and will consult with the Principal Investigators on data-collection strategies and project de-risking. Roles within these studies will also include contributions to scholarly manuscripts, conference presentation materials, and grant proposals. A third area of concentration will be close research collaboration with PI Chang and Assistant Professor Matthew Leonard on human studies of emerging brain-computer interface devices, including the collection and analysis of human data, the authorship of manuscripts and other scholarly materials, and the development of grant proposals in collaboration with team members.

Required Qualifications:
• Ph.D. in Neuroscience, Electrical Engineering, or related field and with at least 3 years of postdoctoral study.

Preferred Qualification:
• Completion of post-doctoral fellowship
• Experience with human neurophysiology studies, including the collection and analysis of multi-modal behavioral and physiological data.
• Seasoned working knowledge of human neurophysiology data-collection systems, implanted brain-stimulation device platforms, and associated data-processing and data-analysis approaches.
• Demonstrated familiarity with regulatory processes associated with the study of medical devices in clinical trials.

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. Please apply online at

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.

Job location

San Francisco, CA


Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter (Optional)

  • Statement of Research (Optional)

  • Statement of Teaching (Optional)

  • Statement of Contributions to Diversity (Optional)

  • Misc / Additional (Optional)

Reference requirements
  • 3 required (contact information only)