XFEL Computational Crystallographer Postdoctoral Scholar

Job ID: 84324
Job date: 2017-11-21
End Date:

Company : Lawrence Berkeley National Laboratory 

Country :

Role : Postdoc 


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Job Description:
Berkeley Lab’s Molecular Biophysics & Integrated Bioimaging Division has an immediate opening for an XFEL (X-ray Free-Electron Laser) Computational Crystallographer Postdoctoral Fellow. The next decade of structural biology at the Linac Coherent Light Source (LCLS) will include groundbreaking advances in time domain protein crystallography, diffuse scattering to observe dynamic motion, and single particle diffraction, and we are developing the data-centered computational methods that will make these advances possible.

What You Will Do:

  • Serial crystallography datasets carry many challenges, in particular the sheer volume of data, and the special treatment required for still-shot Bragg reflections. We are seeking a scientist with strong physical and mathematical intuition who can formulate and code the appropriate algorithms for data processing, and who has the patience and drive to deal with the many experimental uncertainties and sources of noise. The successful candidate will join a team of developers focused on software for new science, building on a strong pre-existing software foundation, including the DIALS and cctbx.xfel toolkits created here (http://cci.lbl.gov/publications/nick_sauter.html).
  • One focus area is photosystem II, using a combination of time-resolved XFEL-based crystallography and X-ray emission spectroscopy to elucidate the sequence of redox events leading to the release of molecular oxygen. Our Division is involved in all aspects of the project, including experimental design and construction, data collection, software development, and crystallographic analysis. Another critical area is the examination of other metalloenzymes such as nitrogenase. Crystallography can spatially resolve the absorption edges from distinct metal centers in the catalytic cofactors, and the absorption spectrum will inform us about the electronic environment and valence states of the atoms. XFELs afford us time resolution, and assure the absence of radiation damage, but the anomalous differences must be quantified to better than 1%, thus creating a need for a unique, new software approach.
  • The projects are funded by a combination of NIH and DOE sources. We also have an ongoing DOE-funded collaboration with SLAC, to scale up the crystallography data analysis pipeline to petascale supercomputers here at NERSC, and eventually to exascale servers in the next decade. This is a great chance for personal growth in a highly collaborative environment, but candidates should come well prepared with a working knowledge of Python and C++, and attendant problem-solving skills.
What is Required:
  • PhD in Biophysics, Bioinformatics, Mathematics, Computer Science, Engineering or Physical Sciences.
  • Familiarity with macromolecular crystallography, other structural biology techniques, or image processing methods.
  • Python and C++ both mandatory.
  • Experience with modern object-oriented, version-controlled software development, with a team-oriented approach.
  • Excellent oral and written communication skills.
  • Ability to work effectively as part of a cross-disciplinary team.
  • Demonstrated ability to analyze complex problems with direct supervision, develop strategies to solve specific problems, while running appropriate controls to validate the correct results.
The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on December 20, 2017.


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Additional Info:
This is a full time, 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.

Full-time, M-F, exempt (monthly paid) from overtime pay.

Salary will be predetermined based on postdoctoral step rates.

This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Berkeley Lab (LBNL) addresses the world’s 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 Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s 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."

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