Open date: November 9, 2021
Most recent review date: Saturday, Dec 31, 2022 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: Tuesday, May 9, 2023 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.
Specialist- Rauschecker Lab
The Rauschecker lab is seeking a Junior, Assistant, Associate, or Full Specialist data scientist / engineer to serve as the core research specialist for our research group, which is focused on applying artificial intelligence algorithms to developing quantitative descriptions of brain images (MRI and CT) in health and disease. The research specialist will also develop a variety of analytical models to integrate this information into useful clinical predictions regarding a variety of neurological disorders. We are looking for a candidate with a background and/or strong interest in neuroscience as well as in engineering and/or computer science and who is excited to apply their skills to imaging of normal and pathologic brain structure. The successful candidate will have the opportunity to work on independent projects supervised by the lab PI but will primarily work in collaboration with other lab researchers/trainees to develop and support analytic tools for lab projects.
• Specialists appointed at the Junior rank must possess a bachelor’s degree in data science, engineering, or related discipline with extensive programming experience (or equivalent degree) or at least four years of research experience.
• Specialists appointed at the Assistant or Associate ranks must possess a master’s degree (or equivalent degree) or at least five years to ten years of research experience.
• Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
• Applicants must meet all of the requirements by the time of hire.
• Candidate’s CV and/or cover letter must state qualifications (or if pending) upon submission.
• The successful candidate should have a strong background in engineering or computer science and strong and varied data analytic skills, including experience and facility coding in such environments as Python, R, and/or MATLAB.
• Experience developing Machine Learning algorithms, working with large datasets, and experience directly related to development of image processing and analysis pipelines.
• Prior experience working in the research lab setting is desired as are strong teaching/communication skills.
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.
Please apply online at https://aprecruit.ucsf.edu/JPF03682, with a CV and cover letter.
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Statement of Research (Optional)
Statement of Teaching (Optional)
Statement of Contributions to Diversity - Please see the following page for more details: https://diversity.ucsf.edu/contributions-to-diversity-statement
Misc / Additional (Optional)
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy found here: https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19.
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.