Associate Specialist

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

Associate Specialist

Position Description

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:

• Designing and executing methods to integrate data from different sources, including developing a Bayesian Hierarchical Modeling framework.
• Using integrative modeling approaches to characterize heterogeneous protein assemblies structures and dynamics.
• Developing methods for modeling protein assemblies based on cross‑linking mass‑spectrometry data, including from crosslinkers with novel chemistries.
• Modeling the post‑synaptic density using integrative methods.
• 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.
• Managing 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 the 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 https://aprecruit.ucsf.edu/JPF05832, 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.

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).

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.

San Francisco, CA