Serial Crystallography Research Scientist
Company: Lawrence Berkeley National Laboratory
Location: Berkeley
Posted on: November 2, 2024
Job Description:
Serial Crystallography Research ScientistBerkeley Lab's (LBNL)
Molecular Biophysics and Integrated Bioimaging Division (MBIB) has
an opening for a Computational Research Scientist to join the
Structural Biology Department.In this exciting role, you will be a
part of a new project to bring serial crystallography to the
Advanced Light Source (ALS). This role will include creating a
modular software pipeline for the analysis of serial X-ray
diffraction patterns using the Diffraction Integration of Advanced
Light Source (DIALS) library that can be redeployed at end stations
throughout ALS or beyond.You will develop new methods of automated
instrument control to allow user-free operation of serial
crystallography sample delivery mechanisms, and collaborate with
data scientists in our computing area to design new methods of
detecting the presence or absence of ligands in X-ray electron
density maps. This will include fast distillation of data from a
variety of sources, including instrument cameras, sensors, and the
diffraction patterns themselves, to provide real-time steering of
the instrument. It will also involve development of slower feedback
mechanisms that change samples and move the instrument to a true
self-driving laboratory.You will have the opportunity to
participate in larger projects in the group, including working on
DIALS infrastructure as part of the US R24 DIALS National Resource,
participating in X-ray free electron laser (XFEL) data processing
development and data analysis, and small-molecule crystallography
methods development.This position has an anticipated start date of
January 1, 2025.What You Will Do:
- Develop and test new methods to automate a self-driving serial
crystallographic instrument at the ALS.
- Perform code management, optimization, and pipeline support as
part of integration into the larger ALS infrastructure.
- Participate in data collection and processing at X-ray free
electron sources.
- Maintain a detailed record of work performed.
- Document and manage code developed using standard source
control methods.
- Publish in peer-reviewed journals.
- Present research at seminars and conferences.
- Document and maintain existing and new data processing
software.What is Required:
- A Ph.D. (or equivalent knowledge/training) in Biophysics,
Bioinformatics, Mathematics, Computer Science, Engineering,
Physical Sciences, or a related field and minimum of 3 years of
relevant experience in Crystallography or an equivalent combination
of education and experience.
- Expertise in computational approaches in at least three of the
following areas:
- Small-molecule chemical crystallography
- Structure solution and refinement
- High speed computing
- Image analysis (especially from cameras used for instrument
monitoring)
- Error propagation and statistics
- Signal processing
- GPU acceleration
- AI/ML as applied to instrument control
- A strong background in Python, C++, or an equivalent platform
for scientific computing.
- Strong analytical and organizational skills.
- Excellent oral and written communication skills including a
demonstrated record of publication and experience promoting and
presenting scientific projects to a variety of audiences.
- Demonstrated interpersonal skills including experience
collaborating with diverse teams of scientific, technical, and
operations personnel.Desired Qualifications:
- A Ph.D. in Biophysics, Bioinformatics, Mathematics, Computer
Science, Engineering, Physical Sciences, or a related field.
- Demonstrated ability to develop self-driving systems, whether
through instrument support or AI/ML experience in general.
- Familiarity with synchrotron operation and software packages
for operation.
- Familiarity with general Python scientific data packages such
as NumPy, SciPy, and pandas.
- Familiarity with the DIALS and cctbx packages.
- Expertise in protein crystallographic data analysis and small
molecule chemical crystallography.
- Well versed in modern coding practices for scientific
computing, including algorithm design and evaluation, source code
management under a revision control system like git, and
incorporation of readable documentation and comments.Notes:
- For full consideration, please apply with a curriculum vitae
(CV) or resume by November 19, 2024.
- This is a full-time, exempt (monthly paid) from overtime pay,
2-year, Career-Track Term appointment that may be renewed to a
maximum of five years and that may be converted to career based
upon satisfactory job performance, continuing availability of
funds, and ongoing operational needs.
- This position is expected to pay $92,701 - $148,316 per year
for job code S39.1. It is not typical for an individual to be
offered a salary at or near the top of the range for a position.
Salary for this position will be commensurate with the final
candidate's qualification and experience, including skills,
knowledge, relevant education, certifications, and aligned with the
internal peer group.
- 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.
- This position may be performed in the following work
modalities: on-site, hybrid, telework, or remote. The primary
location for this role is Lawrence Berkeley National Lab, 1
Cyclotron Road, Berkeley, CA 94720. Work must be performed within
the United States.Learn About Us: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 16
Nobel prizes. The University of California manages Berkeley Lab for
the U.S. Department of Energy's Office of Science.Working at
Berkeley Lab has many rewards including a competitive compensation
program, excellent health and welfare programs, a retirement
program that is second to none, and outstanding development
opportunities.Berkeley Lab is an Equal Opportunity and Affirmative
Action Employer. We heartily welcome applications from women,
minorities, veterans, and all who would contribute to the Lab's
mission of leading scientific discovery, inclusion, and
professionalism. In support of our diverse global community, all
qualified applicants will be considered for employment without
regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability, age, or protected veteran
status.Equal Opportunity and IDEA Information Links:Create and
manage profiles for future opportunities.The Lawrence Berkeley
National Laboratory provides accommodation to otherwise qualified
internal and external applicants who are disabled or become
disabled and need assistance with the application process. Internal
and external applicants that need such assistance may contact the
Lawrence Berkeley National Laboratory to request accommodation by
telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S.
mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA
94720. These methods of contact have been put in place ONLY to be
used by those internal and external applicants requesting
accommodation.
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Keywords: Lawrence Berkeley National Laboratory, Sacramento , Serial Crystallography Research Scientist, Other , Berkeley, California
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