Applications Programmer 2

University of California San Francisco • San Francisco, CA

2d

About The Position

This is a Contract position with a 1 year end date Applies professional programming concepts for small to medium-sized projects or portions of larger projects. Resolves a variety of programming design and implementation issues. Works on programming assignments of moderate scope where analysis of situations or data requires a review of a variety of factors. We are seeking a highly motivated AI Scientist / Computational Pharmacology Scientist to support interdisciplinary research and consulting projects at the intersection of large language models (LLMs), regulatory science, pharmacometrics, and real-world evidence (RWE). The successful candidate will develop AI-driven systems to support regulatory document intelligence, automated pharmacokinetic modeling, and real-world data analysis for pharmaceutical research and consulting engagements. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $63,700 - $136,100 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Zhao Lab at UCSF (Department of Bioengineering & Therapeutic Sciences / School of Pharmacy) is dedicated to advancing drug development and regulatory science through state-of-the-art quantitative modeling, simulation, and artificial intelligence. Under the leadership of Dr. Liang Zhao (a former FDA quantitative methods lead), our group develops mechanistic, population, and AI-driven models that influence regulatory decisions, support generic drug development, and integrate real-world evidence approaches. Our research spans pharmacometrics, physiologically based pharmacokinetics, regulatory‐grade evidence generation, and the intersection of AI/machine learning with drug development. The lab fosters a collaborative, interdisciplinary environment where computational scientists, pharmacologists, and regulatory researchers work together to bridge methodological innovation and real-world impact. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide.

Requirements

• Bachelor's degree in related area and / or equivalent experience / training
• Minimum 1 year of related experience
• Experience with large language models, machine learning, or AI-driven data analysis
• Strong programming skills (Python required; R and/or Julia a plus)
• Experience with large language models, machine learning, or AI-driven data analysis
• Familiarity with pharmacokinetics, clinical data, or biomedical research workflows
• Self-motivated and works independently and as part of a team.
• Able to learn effectively and meet deadlines
• Demonstrated problem-solving skills

Nice To Haves

• Master’s degree in Computer Science, Bioinformatics, Pharmacology, Pharmacometrics, Biostatistics, or a related field
• Experience with FDA regulatory documents (IND, NDA, briefing packages)
• Hands-on experience with PopPK modeling tools (e.g., NONMEM, Monolix)
• Experience working with EHR or real-world data
• Prior collaboration with pharmaceutical or biotech industry partners

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees