The Hong lab focuses on combining clinical domain knowledge with data science to generate insights from real world data, develop actionable computational and artificial intelligence tools, and evaluate the benefit of these advances for personalized cancer care. We have a specific interest and expertise in artificial intelligence machine learning, natural language processing (including alrge language models), computational data extraction, and imaging analytics. We apply these methods to identify new knowledge regarding clinical practice and patient outcomes, make actionable predictions, and identify new interventions. Our lab works from end-to-end along the development and implementation pipeline to develop tools for clinicians to make a meaningful difference in patient care.

This research specialist will perform informatics research to develop computational tools and analyses related to personalized oncology care. Specialist responsibilities include data management, implementation and programming of computational tools including machine learning/deep learning algorithms, and collaboration with other members of the lab and affiliated groups. They will support administrative tasks on the team and 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 meeting and journal club. The specialist will join a multidisciplinary team of clinicians and scientists in the Department of Radiation Oncology, Helen Diller Family Comprehensive Cancer Center, and the Bakar Computational Health Sciences Institute.

Please apply online at https://aprecruit.ucsf.edu/JPF05882. 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 $55,000-$70,700.

• 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)

• 2-4 required (contact information only)

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.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.