Research Associate - Experimental (Dynaboost) Job ID 6195 Location SLAC - Menlo Park, CA Full-Time Temporary **SLAC Job Postings** **Position overview:** SLAC National Accelerator Laboratory is seeking a full-time Research Associate to work on computational methods development for data processing at LCLS. The successful candidate will join the Machine Learning and Computer Vision (MLCV) group, part of the Photon Controls and Data Systems (PCDS) Division, and will collaborate closely with the Follmer Lab (UC Davis). This position will focus on the LDRD funded ¿Dynaboost¿ project on Selective Enhancement and Interpretation of X-ray Scattering Signals from Protein Crystals under Terahertz Excitation. By i) Developing a computational framework for simulating time-resolved THz-pump X-ray diffraction experiments on protein crystals and utilizing computational models to inform the experimental design and analysis process and ii) Performing preliminary THz-pump experiments at LCLS, SSRL, and ASC labs and developing integrated data analysis pipeline that will inform the design of future Serial Crystallography experiments at LCLS-II-HE, we envision this role to help expand the scope of pump-probe crystallographic experiments to a much broader array of bioscience cases at SSRL and LCLS. A successful candidate should have a strong background in machine learning for science, ideally in the context of molecular imaging and structural characterizations. Experience with existing computational methods in inverse problems solving for molecular imaging is strongly desired. Proven experience in collaborative coding and scientific programming is required. Biological and/or Chemistry knowledge is a plus. SLAC is committed to fostering a work environment that promotes inclusion, diversity, equity and accountability. We encourage all qualified applicants to apply; you do not need to meet all the Preferred SLAC is a U.S. Department of Energy (DOE) laboratory operated by Stanford University and based in Menlo Park; CA. Given the nature of this position, onsite work is not required. **Your specific responsibilities include:** + Explore new machine learning approaches for molecular imaging. + Deliver a data processing workflow made of both a simulation and a reconstruction packages, to make THz-pump X-ray probe experiments possible in the context of SFX experiments at LCLS-II-HE. + Design and write documentation of the codebase for beginner users and expert contributors. **Additional responsibilities include development toward other core capabilities of the PCDS department including:** + Contribute new features to the data reduction pipeline and/or the data analysis framework + Participate in and contribute to general group research activities. + Represent your research results at seminars, scientific conferences, and workshops. Note: The Research Associate role is a fixed term staff position. This is a 2-year fixed term position with the possibility of extension. Assignment duration is contingent upon project needs and funding. Applicants must provide evidence of either a recently completed PhD degree or confirmation of completion of the PhD degree requirements prior to starting the position. Applicants should also include a cover letter, a statement of research area including brief summary of accomplishments, a curriculum vitae, a list of publications, and names of at least three references from whom letters of recommendation will form part of the application. **To be successful in this position you will bring:** + PhD in Biology, Chemistry or Physics, or a closely related field with demonstrated coursework and research experience. + Demonstrated track record of advancing interdisciplinary projects through computational methods development + A solid foundation and research background in Machine Learning. + Ability to carry out independent research. + Strong analytical and computational skills. + Working knowledge of principles in one or more molecular imaging modalities. Candidates will provide evidence of either a recently completed PhD degree in the area of Biology, Chemistry or Physics, or confirmation of completion of the PhD degree requirements prior to starting the position. **SLAC Employee competencies:** + Effective Decisions: Uses job knowledge and solid judgment to make quality decisions in a timely manner. + Self-Development: Pursues a variety of venues and opportunities to continue learning and developing. + Dependability: Can be counted on to deliver results with a sense of personal responsibility for expected outcomes. + Initiative: Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward. + Adaptability: Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes. + Communication: Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages. + Relationships: Builds relationships to foster trust, team collaboration, and a positive climate to achieve common goals. **Physical requirements and working conditions:** + Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Work standards: + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1¿General Policy and Responsibilities: http://www-group.slac.stanford.edu/esh/eshmanual/pdfs/ESHch01.pdf + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. --------------------- + Classification Title: Research Associate Experimental + Job code: 0127, Grade: G + Employment Duration: 2 years fixed term The expected pay range for this position is $70,000 - $100,000 per annum. SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. SLAC National Accelerator Laboratory is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All staff at SLAC National Accelerator Laboratory must be able to demonstrate the legal right to work in the United States. SLAC is an E-Verify employer.