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Cryo Et Postdoctoral Position Jobs (NOW HIRING)

Washington University of St. Louis

These efforts combine cryo-EM and cryo-ET structural biology, biochemical and cellular assays, and ... This position is well suited for individuals pursuing careers in academia and supported by NIH ...

Washington University

These efforts combine cryo-EM and cryo-ET structural biology, biochemical and cellular assays, and ... This position is well suited for individuals pursuing careers in academia and supported by NIH ...

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Cryo Et Postdoctoral Position information

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How much do cryo et postdoctoral position jobs pay per year?

As of Sep 13, 2026, the average yearly pay for cryo et postdoctoral position in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a Cryo ET postdoctoral position?

A Cryo-ET (Cryo-Electron Tomography) Postdoctoral Position is a research role for scientists who have recently completed their PhD and want to specialize in cryo-electron tomography. This technique allows researchers to visualize the three-dimensional structure of cells and macromolecular complexes at near-atomic resolution in their native state. Postdocs in this field work on developing, optimizing, and applying cryo-ET methods to study biological samples, often contributing to breakthroughs in structural biology and cell biology. The position typically involves both experimental and computational work, including sample preparation, data collection, image processing, and analysis.

What are the key skills and qualifications needed to thrive as a Cryo ET postdoctoral researcher?

To excel as a Cryo-ET Postdoctoral Researcher, you typically need a PhD in structural biology, biophysics, or a related field, with a strong background in electron microscopy and sample preparation. Proficiency in cryo-electron tomography (Cryo-ET) instrumentation, image processing software (such as RELION, IMOD, or Dynamo), and data analysis tools is crucial. Outstanding problem-solving abilities, attention to detail, and effective scientific communication skills set top candidates apart. These capabilities are essential for producing high-quality structural data and successfully advancing research projects in a collaborative laboratory environment.

What are some typical challenges faced when starting a Cryo ET postdoctoral position, and how can new hires overcome them?

New postdocs in Cryo-EM often encounter challenges such as mastering complex instrumentation, optimizing sample preparation protocols, and interpreting intricate datasets. Adapting to the fast-evolving software and staying current with best practices can also be demanding. To overcome these, it's helpful to actively seek mentorship within the lab, participate in training workshops, and collaborate closely with multidisciplinary team members. Engaging with the broader Cryo-EM community through seminars and conferences can further accelerate your learning and integration into the field.
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Infographic showing various Cryo Et Postdoctoral Position job openings in the United States as of September 2026, with employment types broken down into 95% Full Time, and 5% Temporary. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Researcher in computational cryo-EM/ET method development

New Haven, CT • On-site

Yale University
Colleges, Universities, and Professional Schools • 10K+ employees
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This job post has expired 3 days ago. Applications are no longer accepted.

Yale University rating

8.2

Company rating: 8.2 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

Job description

About the job

The Kexin Zhang Lab (https://kexinzhang-lab.github.io/) at Yale University is recruiting postdoctoral researchers to develop new computational methods at the interface of cryo-electron microscopy, AI, physics-based modeling, and in situ structural biology.

Our lab develops computational approaches for cryo-EM and cryo-ET that enable molecular detection, structural inference, and biological discovery in complex and native environments. We are particularly interested in methods that combine physical modeling, numerical methods, and data-driven approaches to extract information from noisy biological datasets.


Research directions include

• AI- and physics-based methods for molecular detection in cryo-EM and cryo-ET data

• Computational methods for analyzing heterogeneous molecular structures, conformational landscapes, and continuous dynamics

• Numerical methods for cryo-EM image formation, pose estimation, reconstruction, and structural inference

• Machine learning, foundation models, and representation learning for large-scale structural and cellular imaging data

The lab is based in the Department of Molecular Biophysics and Biochemistry at Yale University and works closely with researchers in structural biology, cryo-EM/cryo-ET, computational biology, applied mathematics, and computer science. Postdoctoral researchers will have substantial flexibility to develop independent research directions while collaborating with experimental and computational groups at Yale and beyond.


Responsibilities

Successful candidates will:

• Develop new computational and mathematical methods for cryo-EM, cryo-ET, structural biology, or related imaging problems

• Design and carry out independent and collaborative research projects

• Implement and benchmark algorithms on simulated and experimental datasets

• Collaborate with experimental structural and cell biology groups

• Communicate research through publications, conference presentations, and open-source software when appropriate

• Contribute to mentoring students and to the scientific development of a growing interdisciplinary research group


Qualifications

Required:

• Ph.D. or anticipated Ph.D. in computational structural biology, computer science, applied mathematics, physics, statistics, biophysics, computational biology, bioengineering, or a related field

• Strong quantitative, computational, and programming skills

• Ability to independently formulate and investigate research questions

• Strong interest in developing new computational methodology


We particularly welcome applicants with experience in one or more of the following areas:

• Computational structural biology

• Computer vision or image processing

• Machine learning, generative modeling, or large language models (LLMs)

• Scientific computing

• Optimization and numerical methods

• Statistical inference

• Biophysical or physical modeling

Previous cryo-EM/ET experience is helpful but not required.


More information about the lab and current research can be found at:

https://kexinzhang-lab.github.io/


How to apply

Interested candidates should send the following to kexin.k.zhang@yale.edu:

• CV

• A brief description of previous research and future research interests

• Representative publications, preprints, software, or other research projects, if applicable

• Contact information for references


Applications will be reviewed on a rolling basis. We also welcome inquiries from research assistants and prospective Ph.D. students interested in joining or rotating in the lab through Yale graduate programs.

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