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.

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.

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, discrimination, dishonesty, or unethical conduct, as defined by the employer.
* UC Sexual Violence and Sexual Harassment Policy: https://policy.ucop.edu/doc/4000385/SVSH
* UC Anti-Discrimination Policy: https://policy.ucop.edu/doc/1001004/Anti-Discrimination
* APM - 035: Affirmative Action and Nondiscrimination in Employment: https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf