Scientific Software Developer

UCLA Health · Los Angeles, CA

Engineering Health & Well-Being Posted 2 weeks ago

Linux
Python
C++
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Overview

You can provide the tools necessary to deliver cutting-edge health care and groundbreaking research. As part of our Information Technology team, you’ll ensure that our medical professionals have access to the latest breakthroughs in technology, and you’ll play a key role in protecting our global patient community.

Responsibilities

The 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.

UCLA 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.

Qualifications

REQUIRED:

  • 3-4 years programming experience, including Python (high-level), numpy, and C++
  • Experience with design and maintenance of modular software packages
  • Familiarity with Fourier techniques and digital image processing
  • User level knowledge of Mac OS X, and Unix/Linux
  • Knowledge of software development principles and architecture
  • Experience writing clear, precise, detailed, comprehensive and grammatically correct letters, memos, reports, policies and procedures
  • Strong 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 issues

PREFERRED:

  • Ph.D. in Science, engineering, physics or computer science/programming or 10 years track record of programming in real setting (beyond terminal degree) – highly preferred
  • Graduate in a computational/quantitative field (e.g., computational biology, electrical engineering, computer science, physics, etc.). – strongly preferred
  • Knowledge of conda installers

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