Associate Specialist

About the role

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.

Responsibilities

• 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 proteins 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
• 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

Application Requirements

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

Salary Range

A reasonable estimate for this position is $75,600-$88,000.

Application Instructions

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.

About the University of California

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.

Finalist Requirements

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