Recruit
Assistant, Associate or Full Specialist- Wang Lab
Application Window
Open date: August 13, 2024
Most recent review date: Wednesday, Aug 28, 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: Friday, Feb 13, 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
Assistant Specialist- Wang Lab
Department of Bioengineering & Therapeutic Sciences
This is a full-time position for one year, extension is possible. The scholar will engage in research projects related to developing or applying a range of machine learning (ML) models, including large language models (LLMs), and leverage the real-world big electronic health records (EHR) data harmonized across the University of California (UC) health systems. At UC San Francisco (UCSF) alone, real-world clinical data is linked across structured data and unstructured clinical texts and images, as well as genomics data for researchers and scientists to answer important research questions and develop impactful solutions. Projects the scholar will be involved include developing AI-driven approaches to improve cancer, women’s health and health disparity, optimizing personalized treatments for cardiometabolic diseases, developing multi-modal and multi-omics approaches for systems pharmacology, and investigating how AI/ML models can be used to promote health equity.
Required Qualifications:
- Assistant Specialist- A master’s degree or a bachelor’s degree with three or more years of research experience.
- Associate Specialist- A master’s degree (or equivalent degree) or five to ten years of research experience.
- Full Specialist- A terminal degree (or equivalent degree) or ten or more years of research experience.
- Majored in bioinformatics, computer sciences, or other relevant fields in quantitative sciences
- Proficiency in python, SQL, or other programming languages,
- Basic knowledge in machine learning and/or statistical learning.
- Candidates must meet the required qualifications at the time of appointment.
- Candidate's CV must state qualifications and/or if pending upon submission.
Preferred Qualifications:
- Knowledge or training in medicine, health sciences, systems biology, or pharmacology would be a plus.
- Independent specialized research.
Please apply online at https://aprecruit.ucsf.edu/JPF05220, with a CV and three references.
Application Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter (Optional)
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)
- 3 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.