Sheng Lab - Junior or Assistant Specialist
San Francisco, CA, United States
Application Window
Open date: March 30, 2023
Most recent review date: Friday, Apr 14, 2023 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: Monday, Sep 30, 2024 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.
Position description
A junior or assistant specialist opportunity is available at the University of California, San Francisco in the Sheng laboratory (shenglab.ucsf.edu). The Sheng lab is part of the Department of Radiation Oncology.
The Sheng lab performs a wide range of medical research, including treatment planning for radiotherapy, image acquisition, reconstruction, and processing.
This junior or assistant specialist will assist in medical physics and engineering research to develop novel image analysis methods. Specialist responsibilities include data collection, management and preprocessing. They will work closely with other lab members, participate in lab meetings, and perform other duties as assigned. They will be expected to conduct data analyses and prepare for presentations at lab meetings and journal clubs. The specialist will join a multidisciplinary team of physicists and scientists in the Department of Radiation Oncology.
The specialist will also be encouraged to take advantage of other training and learning opportunities within the UCSF Helen Diller Family Comprehensive Cancer Center and other related entities at UCSF. We hope this experience will prepare the applicant for future opportunities in biomedical physics.
Required Qualifications:
* Specialists appointed at the junior rank must possess (or in process of obtaining) a B.A. or B.S. (or equivalent) in physics, engineering, bioinformatics, computer science, data science, computational biology, mathematics, or a related quantitative/scientific discipline.
* Specialists appointed at the Assistant rank must possess (or in process of obtaining) a master's degree or a baccalaureate degree with 3 or more years of research experience.
* Basic programming training
* Strong problem-solving skills
* Strong communication and writing skills
Preferred Qualifications:
* Experience with data science and machine learning
* Experience developing experimental and analytical plans
* Prior research experience
Applicants must meet all required qualifications by time of hire. Applicants' materials must list current and/or pending qualifications upon submission.
Please apply online at https://aprecruit.ucsf.edu/JPF04461
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-$63,000.
Application Requirements
Document requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
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
(Optional)
Misc / Additional (Optional)
Reference requirements 2-4 required (contact information only)
About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
UC San Francisco seeks candidates whose experience, teaching, research, or community service 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
#J-18808-Ljbffr