Associate Specialist, Integrative Proteomics Modeling

University of California, San Francisco; San Francisco (CA); On-site; USD 75,600 - 88,000; Full time

Job summary

The University of California, San Francisco invites applications for an Associate Specialist who will lead computational efforts to develop and apply methods for integrating proteomics and genetics data collected in situ for integrative structure modeling.

The role emphasizes Bayesian hierarchical modeling, integration of diverse data types, and development of modeling strategies for protein assemblies, with opportunities to publish in high‑impact journals and present at conferences.

Qualifications

• Master’s degree (or equivalent) in chemistry, biophysics, computational biology, or related area, or five to ten years of relevant experience.
• Experience in integrative modeling approaches.
• Familiarity with proteomics data generation and analysis (HDX, cross-linking MS).
• Proficiency in using and developing molecular modeling software.
• Demonstrated ability to apply quantitative approaches to biological problems.
• Proven research project leadership and ability to manage multiple collaborative projects.

Responsibilities

• Design and execute methods to integrate data from different sources, including Bayesian hierarchical modeling frameworks.
• Use integrative modeling to characterize heterogeneous protein assemblies structures and dynamics.
• Develop models for protein assemblies from cross-linking MS data.
• Model the post-synaptic density using integrative methods.
• Prepare manuscripts and grant applications; present work at scientific conferences.

Skills

Integrative modeling

Computational methods

Bayesian statistics

Project leadership

Molecular modeling software

Data analysis

Cross-disciplinary collaboration

High-impact publication track record

Education

Master’s degree or higher

PhD (preferred)

Tools

Molecular modeling software

Job description

The University of California, San Francisco invites applications for an Associate Specialist who will lead computational efforts to develop and apply methods for integrating proteomics and genetics data collected in situ for integrative structure modeling.

The role emphasizes Bayesian hierarchical modeling, integration of diverse data types, and development of modeling strategies for protein assemblies, with opportunities to publish in high‑impact journals and present at conferences.