Cryo-Electron Tomography (cryo-ET) Scientist

Cryo-Electron Tomography (cryo-ET) Scientist

The Stowers Institute for Medical Research seeks a Cryo-Electron Tomography (cryo-ET) scientist to support and expand our growing in situ structural biology and integrative imaging efforts. This senior-level position within the Technology Center will play an active role in developing and executing cryo-ET projects, enabling visualization and structural interpretation of molecular assemblies directly within cells and tissues.

Working closely with Stowers investigators, the successful candidate will lead collaborative cryo-ET projects across diverse biological systems. This is a highly hands-on position focused on advancing workflows from sample preparation and data collection through analysis and structural interpretation, while contributing to the Institute's strategic expansion into cryo-ET and integrative structural biology.

Responsibilities

• Lead and execute cryo-ET projects in collaboration with investigators and technology center scientists.
• Develop and optimize workflows for in situ cryo-ET, including sample preparation, tilt-series acquisition, tomographic reconstruction, and subtomogram averaging.
• Contribute to integrative structural workflows combining cryo-ET with complementary approaches such as AlphaFold-based structural prediction, crosslinking mass spectrometry (XL-MS), and molecular simulations or integrative modeling.
• Provide scientific guidance and training to researchers using cryo-ET approaches.
• Maintain strong communication across multidisciplinary teams to ensure successful project outcomes.
• Travel to collaborating facilities for cryo workflow and/or data acquisition is required for this position.

Qualifications

• Ph.D. in structural biology, biophysics, cell biology, biochemistry, or related field; postdoctoral experience preferred.
• Hands-on experience in cryo-EM, with demonstrated expertise in cryo-ET workflows.
• Experience with cryo-ET data processing software and analysis pipelines.
• Strong organizational and collaborative skills with experience working on multidisciplinary projects.
• Preferred but not required: experience or interest in integrative structural biology approaches such as AI based structural prediction, and/or molecular simulations.