The Sushil lab (Multimodal Medical Artificial Intelligence (M2AI) lab) focuses on combining computational skills in artificial intelligence, deep learning, and foundation models with domain knowledge within electronic health records, while collaborating with clinical experts, to generate insights from real world data, develop actionable AI tools, and evaluate the benefit of these advances for personalized care. We have a specific interest and expertise in developing and validating foundation models like large language models and vision-language models for solving pressing questions in healthcare, such as improving radiology interpretation, enabling speedier diagnosis for rare diseases, modeling cancer trajectory, and personalizing treatment decisions.

This research specialist will perform AI research to develop AI computational tools and analyses related to personalized brain tumor care. Specialist responsibilities include data management, implementation and programming of computational tools like deep learning- based vision-language models, 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. They will also be expected to translate their research into manuscripts submitted to clinical informatics or machine learning venues.

Required qualifications:
* Assistant Specialist - Master's degree or a baccalaureate degree with 3 or more years of research experience.

Please apply here. 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 $63,500-$70,700.

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.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
* "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
* UC Sexual Violence and Sexual Harassment Policy
* UC Anti-Discrimination Policy
* APM - 035: Affirmative Action and Nondiscrimination in Employment