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Bioimaging Project Scientist

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POST DATE 8/14/2016
END DATE 10/29/2016

Lawrence Berkeley National Laboratory Berkeley, CA

Lawrence Berkeley National Laboratory
Job Classification
Full Time
Company Ref #
AJE Ref #
Berkeley, CA
Entry Level (0 - 2 years)
Job Type
Doctoral Degree


Berkeley Lab is Bringing Science Solutions to the World, and YOU can be a part of it!

In the world of science, Lawrence Berkeley National Laboratory (LBNL) is synonymous with "excellence." That's why we hire the best - whether in research, science or operations. This is a great opportunity to bring your top-notch skills to bear in support of world-class scientific research that addresses national and global challenges!

Position Summary:

Berkeley Labs Molecular Biophysics and Integrated Bioimaging has an exciting opportunity for a Bioimaging Project Scientist position who will apply neuromorphic computing techniques to structural biology problems in X-ray diffraction, CryoEM, and CryoET. This will be a cross-disciplinary effort between the Molecular Biophysics and Integrated Bioimaging (MBIB) and Computational Research (CRD) Divisions at Lawrence Berkeley National Laboratory. The research group will include investigators Nick Sauter (X-ray Crystallography), Karen Davies (CryoEM/ET), and Chao Yang (Scalable Solvers).

Specific Responsibilities:


Investigate how to apply deep learning algorithms to specific data processing and data interpretation problems in structural biology.

Implement convolutional neural network (CNN) code on neuromorphic computing hardware such as the IBM TrueNorth chip. Example problems include the identification of positive diffraction events in X-ray free-electron laser diffraction, conformational classification in CryoEM single particle reconstruction, and the identification of 3D sections for CryoET subtomogram averaging.

Use tools such as MatConvNet, CAFFE, THEANO or TensorFlow to construct and train CNNs that can be used to optimally classify experimental data.

Proven ability to identify and formulate research problems


Identify computational problems in bioimaging amenable to deep learning algorithms

Propose strategies for implementing and testing these approaches

Required Qualifications:


PhD in Biophysics, Bioinformatics, Mathematics, Computer Science, Engineering or Physical Sciences or equivalent demonstrated research experience or expertise.

Strong background in image analysis and machine learning, including neural networks.

Working knowledge of image classification and/or other image processing techniques.

Proficient programming skills in MATLAB and/or Python.

Working knowledge of performance optimization for scientific codes.

Excellent verbal and written communication skills.

Additional Desired Qualifications:

* Strong interest in Structural Biology.

The posting shall remain open until the position is filled.



This is a one year term appointment with the possibility of renewal.

Salary is commensurate with experience.

This position requires completion of a background check.

Berkeley Lab addresses the worlds most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Labs scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energys Office of Science.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law.