Associate Specialist

Application Window

Open date: October 14, 2025

Most recent review date: Tuesday, Jun 23, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Apr 14, 2027 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

The Quantitative Biosciences Institute is now recruiting an Associate Specialist. The successful candidate will lead the computational efforts of developing and applying methods for applying proteomics and genetics data collected in situ for integrative structure modeling. Critical aspects of the research include: (1) Designing and executing methods to integrate data from different sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches to characterize heterogeneous protein assemblies structures and dynamics; (3) developing methods for modeling proteins assemblies based on cross-linking mass spectrometry data, including from crosslinkers with novel chemistries; (4) modeling the post-synaptic density using integrative methods; and (5) writing manuscripts and applications for federally sponsored research, and presenting our research at scientific conferences.

Required Qualifications:

• A master's degree (or equivalent degree) in chemistry, biophysics, computational biology, or a related area, or five to ten years of relevant experience.
• Experience in integrative modeling approaches
• Familiarity with the data generation and analysis process of proteomics data such as HDX and cross-linking mass-spectrometry.
• Proficiency in using and developing molecular modeling software
• A demonstrated track record of effectively using quantitative approaches to biological problems
• Proficiency in computational methods and adherence to best practices
• Demonstrated experience as a research project leader
• Manage multiple diverse and collaborative projects between multiple laboratories
• High productivity and successful record publishing in high-impact journals

Preferred Qualifications:

• Ph.D.
• Post-graduate training in field
• Understanding of large-scale proteomics data and placing it in a biological context
• Experience in Bayesian statistics, machine learning/artificial intelligence algorithms, and other commonly applied techniques in the statistical -omics data analysis
• Expertise in large scale data handling
• Community outreach

Please apply online at , with a CV and three references.

See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600-$88,000.

Application Requirements

Document requirements

• Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).

• Cover Letter (Optional)

Reference requirements

• 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


Job location


San Francisco, CA