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#97508 Applications Programmer 1

Filing Deadline: Fri 1/25/2019

UCSD Layoff from Career Appointment: Apply by 01/16/19 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 01/25/19. Eligible Special Selection clients should contact their Disability Counselor for assistance.


Founded in 2006, the Department of Radiation Medicine and Applied Sciences (RMAS) at the University of California San Diego (UCSD) is comprised of a large and diverse faculty of clinicians and researchers devoted to providing high-quality patient care, the development and adoption of novel radiation oncology technologies, and the advancement of academic radiation medicine through research, education and training. Over the last decade, the Department has experienced unprecedented growth and is now the major provider of Radiation Oncology services in the greater San Diego region and has also become an internationally-recognized academic center.

The Programmer will support a federally-funded effort to create a web-based platform for delivering knowledge-based treatment predictions for new radiotherapy cases. The Programmer will develop algorithmic solutions to problems in data mining, image processing, and graphical display of quantitative information. Current programming efforts include the use of C# to develop scripts in the Varian Eclipse Treatment Planning System, Java and Matlab extensions for DICOM image processing in MIM, website deployment on Digital Ocean, and numerical analysis in Matlab and R.


  • A Bachelor's Degree in related area; and/or equivalent experience/training.

  • Strong programming skills. Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts.

  • Demonstrated effective communication and interpersonal skills.

  • Proven ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

  • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines.


Prior experience in medical imaging and machine learning.


  • Employment is subject to a criminal background check.
  • Must be able to work occasional evenings and weekends as necessary.
  • Must be able to maintain data confidentiality.

UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, and several outpatient clinics. UC San Diego Medical Center in Hillcrest is a designated Level I Trauma Center and has the only Burn Center in the county. We invite you to join our dynamic team!


Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.


UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.

UC San Diego School of Medicine
Payroll Title:
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Commensurate with Experience
Moores Cancer Center
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Work Schedule:
Days, 8 hrs/day, Monday-Friday


As a federally-funded institution, UC San Diego Health maintains a marijuana and drug free campus. New employees are subject to drug screening.