Lin Lab - Junior or Assistant Specialist
Application Window
Open date: July 15, 2024
Most recent review date: Wednesday, Jul 31, 2024 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: Thursday, Jan 15, 2026 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
Job Description:
We are seeking a motivated Junior and or Assistant Research Specialist to join Dr. Hui Lin's lab in the Department of Radiation Oncology at UCSF. This position is focused on processing multi-modal, high-dimensional medical data and building a glioma oncology foundation model that incorporates longitudinal multi-parametric MRI, EHR (Electronic Health Records), and molecular data. This position provides an exceptional opportunity for skill development and career growth in a cutting-edge research environment.
Key Responsibilities:
- Perform data preprocessing and integration of multi-modal datasets, including MRI and EHR notes.
- Develop and implement deep learning models to analyze longitudinal medical data.
- Collaborate with a multidisciplinary team including radiation oncologists, radiologists, data scientists, and bioinformaticians.
- Assist in the preparation of research manuscripts and grant proposals.
- Present findings at lab meetings and contribute to the dissemination of research results.
- Maintain detailed documentation of research processes and results.
Qualifications:
- Applicants appointed at the Junior rank must possess a bachelor’s degree in a relevant field such as data science, computer science, bioengineering, or a related discipline.
- Applicants appointed at the Assistant rank must possess a master’s degree or a baccalaureate degree with 3 or more years of research experience.
- Experience with natural language processing, deep learning and medical imaging analysis.
- Experience with programming languages such as Python, C, CUDA.
- Strong analytical skills and ability to work with multi-modal medical data, especially EHR.
- Excellent communication skills and ability to work collaboratively in a team environment.
Opportunities:
- Work directly with leading experts in radiation oncology and bioengineering.
- Gain hands-on experience with advanced technologies and methodologies in medical research.
- Potential for publication co-authorships based on contributions to ongoing projects.
- Participate in collaborative projects with other departments and research institutions.
- Develop skills that provide a solid foundation for further studies or careers in medical research and data science.
Please apply online at https://aprecruit.ucsf.edu/JPF05156. Applicants’ materials must list current and/or pending qualifications upon submission.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $53,100 - $68,300.
Application 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: Contributions to Diversity Statement
(Optional)Misc / Additional (Optional)
- 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.