Professional Research Assistant -Data Monitoring & Super Cryogenic Dark Matter Research

Position Details
University of Colorado | Denver
Faculty Level/Title: Professional Research Assistant
Working Title: Professional Research Assistant -Data Monitoring & Super Cryogenic Dark Matter Research
FTE: Full time.  (Part-time employment may be an option) 
Salary Range: $54,000 – $64,000 at 1.0 FTE (pro-rated for part-time) | Hybrid or Remote
Position # 00673883 – Requisition #37763
Join the University of Colorado Denver
About the University of Colorado - Denver 
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Job Description
* Applications are accepted electronically ONLY at www.cu.edu/cu-careers *
Dr. Roberts is a member of the Physics department at CU Denver and works to detect dark matter and to build tools that increase the trust in results from this discipline.  This position focuses on monitoring the data quality quickly enough that shifters can intervene as issues arise.  This job will requires you work with the SuperCDMS data quality monitoring software, processing software, data acquisition software, and multiple databases to deliver usable science data. 

Professional Research Assistant
What you will do:
Approximately 20% of your time will be spent learning about the data quality system and related subsystems.  This will involve:

• Participating in remote team meetings with PI and graduate students where the focus is debugging code and/or the computing environment
• Meeting weekly with the PI and sometimes graduate students and postdocs to learn about the MIDAS data acquisition system deployed for the experiment, the databases in use, the network underground at SNOLAB, the data quality system, the data catalog, and other systems that integrate with the data quality system.
• Attending remote training sessions to learn how to take a remote shift running the CDMS detectors.

Approximately 50% of your time will be spent developing the data quality monitoring system.  This will involve:

• Individually debugging and implementing features in data quality codebase.
• Individually learning and testing the data quality system on test installation.
• Individually updating and testing data quality code on the primary installation at SNOLAB.

Approximately 30% of your time will be spent supporting facilities in run efforts.  This will involve:

• Taking shifts as a data quality expert when we turn on the experiment.  This will involve monitoring the slack chat for issues and checking that webpages are populating correctly.  You will need to report bugs and, when they are severe, contact the PI and arrange a schedule for immediate fixes.
• The candidate may have the opportunity to take shifts at the experiment site, an active mine in Ontario.

Qualifications you already possess (Minimum Qualifications)
Applicants must meet minimum qualifications at the time of hire.