Scientific Software Developer

ResponsibilitiesThe UCLA David Geffen School of Medicine Department of Biological Chemistry seeks a full-time Scientific Software Developer in computational biological image analysis. In this role, you will work with a multidisciplinary team which includes computational scientists, biophysicists, biochemists, and cryo-EM specialsts to develop a software package for biological structure determination using image analysis of biological electron diffraction patterns. The software will become a part of the MicroED technique developed by the resource. In addition, you will work with co-investigators to tailor analyses for their individual manuscripts and prepare manuscript results for peer-review submission, including electronic literature review.QualificationsREQUIRED:3-4 years programming experience, including Python (high-level), numpy, and C++ (high level)Experience with design and maintenance of modular software packagesFamiliarity with Fourier techniques and digital image processingUser level knowledge of Mac OS X, and Unix/LinuxKnowledge of software development principles and architectureExperience writing clear, precise, detailed, comprehensive and grammatically correct letters, memos, reports, policies and proceduresStrong oral communication skills to speak effectively on a one-to-one basis and in groups having a wide range of computer literacy, to engage in factor finding and to convey information to clarify conceptual issuesPREFERRED:Ph.D. in Science, engineering, physics or computer science/programming or 10 years track record of programming in real setting (beyond terminal degree) – highly preferredGraduate in a computational/quantitative field (e.g., computational biology, electrical engineering, computer science, physics, etc.). – strongly preferredKnowledge of conda and minconda installersUCLA 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, or protected Veteran status.

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