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.
