Scientist / Senior Scientist, Structural Biology
$142,518–$192,819 year
On-siteSouth San Francisco, California, United States
Job Summary
Partner with discovery teams to evaluate samples, define structural biology strategies, and develop fit-for-purpose experimental plans. Perform and guide cryo-sample preparation, grid optimization, screening, data collection, image processing, model building, refinement, and structural interpretation. Deliver high-quality structural insights that inform mechanism of action, molecular design, and therapeutic decision-making. Develop scalable, reproducible CryoEM workflows that improve throughput, robustness, and data quality. Coordinate activities across internal facilities, external collaborators, and instrument vendors to maximize platform performance. Evaluate and implement emerging technologies—including automation and AI-enabled tools—to improve data collection, analysis, and workflow efficiency. Apply complementary structural biology approaches, including X-ray crystallography, MicroED, electron tomography, and integrative structural biology, where appropriate to address scientific questions. Support and/or lead CryoEM platform activities at the South San Francisco site, including operation of the 200 kV Glacios 2 and user support for the 300 kV Titan Krios. Contribute to scientific innovation through technology development, publications, presentations, and knowledge sharing.
Required Qualifications
- Doctorate degree PhD in Structural Biology, Biochemistry, Biophysics, or a related field
- PharmD
- MD [and relevant post-doc where applicable]
- Master's degree and 3 years of Structural Biology experience
- Bachelor's degree and 5 years of Structural Biology experience
Desired Qualifications
- Experience with X-ray crystallography, MicroED, electron tomography, or integrative structural biology
- Experience supporting structure-based drug discovery in an industry setting
- Experience studying membrane proteins, antibodies, multispecifics, GPCRs, or other challenging therapeutic targets
- Experience developing new methodologies that improve throughput, reproducibility, or success rates
- Familiarity with automated data collection software such as EPU
- Experience mentoring scientists or training CryoEM users
- Record of scientific publications, presentations, or technology innovation
- Passion for collaborative science and continuous improvement
- Experience scripting/coding with Python and/or other programming languages
- Experience operating Glacios, Titan Krios, or equivalent high-end CryoEM instrumentation
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