Associate Specialist
Application Window
Open date: October 15, 2026
Next review date: Friday, Oct 30, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Apr 15, 2028 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
Associate Specialist
Bioengineering and Therapeutic Science
University of California, San Francisco
Dr. Chun at UCSF is recruiting an Associate Specialist.
Description
This will be a 1 year contract role where the Associate Specialist will provide technical and statistical support for the project, collaborating with UCSF and Genentech investigators to develop and evaluate novel statistical methods for hybrid randomized clinical trials with longitudinal outcomes. Responsibilities will include addressing missing data and bias from external controls, conducting simulation studies and real-world data analyses, developing reproducible statistical code, and evaluating key operating characteristics. The Associate Specialist will also contribute to the interpretation and dissemination of findings through manuscripts, presentations, expert meetings, and FDA training materials, helping translate methodological advances into practical approaches for hybrid RCTs in rare-disease settings.
Required Qualifications:
- Associate Specialist - Master’s degree (or equivalent degree) in Biostatistics, Statistics, Bioinformatics, Computer Science, Data Science, or a closely related quantitative field or five to ten years of relevant experience.
- Demonstrated strong proficiency in R programming, with practical experience in developing, documenting, and testing R packages
- Experience working with Real-World Data (RWD) sources (e.g., EHR, registries, clinical databases)
- Solid understanding of statistical techniques (e.g., longitudinal data)
- Strong organizational skills and attention to detail
- Strong communication skills
- Ability to work both independently and collaboratively in a dynamic research environment
- Active experience using Git/GitHub for collaborative software development, pull requests, and version control
Preferred Qualifications:
- Ph.D in Biostatistics, Statistics, Bioinformatics, Data Science, or a relevant quantitative field
- Background in clinical trials, causal inference, health economics, or epidemiology
Please apply ONLINE, with a CV, cover letter, transcripts for degree qualifications (electronic unofficial copies are fine), and three references.
See Table 24B for the salary range for this position. A reasonable estimate for this position is $78,300-$91,100.
Application Requirements
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Cover Letter
Transcripts for degree qualifications (electronic unofficial copies are fine)
- 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.
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