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    Opportunity: Programmer for Molecular Oncology Initiative @ UCSF Cancer Center -- San Francisco, CA (US)
    Submitted by Adam Olshen; posted on Thursday, April 26, 2018


    The Molecular Oncology Initiative at the Helen Diller Family UCSF Comprehensive Cancer Center is looking for a Clinical Applications Programmer. Use your programming skills to help in the fight against cancer!


    The Clinical Applications Programmer position will be engaged in storing, organizing, and manipulating molecular oncology data and matching clinical data. The Clinical Applications Programmer will organize molecular data in a local cancer genomics portal. They will design and implement a local database for storing clinical data. They will organize the movement of existing data from multiple formats and locations into the previously mentioned tool, as well as creating automatic systems for movement of newly acquired data into these same tools. This position will include interactions with other programmers and oncologists.


    • Bachelor's degree in related area with two to three years of experience, or the equivalent combination of education and experience / training
    • Strong programming skills in a widely used language such as JavaScript or Python
    • Basic dev-ops, UNIX (Ubuntu), bash scripting, configuring Apache/nginx/etc.
    • Experience with data models and database design
    • Excellent oral and written communication skills and the ability to work in a multi-disciplinary setting
    • Ability to multi-task and take on new and diverse assignments
    • Ability to work autonomously and collaboratively as part of a team


    Understanding of oncology data, especially mutation data


    San Francisco, CA, USA


    Based on experience


    Please visit[...]_5226


    Open until filled


    The University of California San Francisco 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, age, protected veteran or disabled status, or genetic information.

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