Data Scientist/ Engineer
- Employer
- University of Colorado Anschutz Medical Campus
- Location
- Denver, CO
View more
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
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Description
Qualifications
Minimum Qualifications:
Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: May 5, 2022
Unposting Date: Ongoing
University of Colorado | CU Anschutz Medical Campus
School of Medicine - The Department of Pediatrics, Kempe Center for the Prevention of Child abuse and Neglect
Working Title: Data Scientist/ Engineer
Position #793111 – Requisition #25870
* Applications are accepted electronically ONLY at www.cu.edu/cu-careers The University of Colorado has a requirement for COVID-19 vaccinations and full completion thereof by 9/1/21 or upon start date. Information regarding this requirement, and exemptions can be found at:Anschutz: https://www.ucdenver.edu/docs/librariesprovider284/default-document-library/3000-general-admission/3012---covid-19-vaccination-requirement-and-compliance.pdf?sfvrsn=4e9df3ba_2Denver: https://www.ucdenver.edu/coronavirusExemptions vary by campus location/department. Campus/Unit-Specific Exemptions:- Anschutz Campus – Exemptions are allowed for medical or religious reasons.Denver Campus - Exemptions are allowed for medical, religious, or personal reasons.Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.
- Develop data products (e.g., dashboards) that could be shared, especially with our child welfare agency collaborators, and potentially shared via the Kempe website as a resource for the state.
- Link complex datasets at the case or person level across data sources; for example, case information of children who received medical evaluations for abuse/neglect from CARE Network designated providers with child welfare administrative case data and/or electronic health records data from Health Data Compass datasets with reports of abuse/neglect in child welfare administrative data.
- Ensure routine access to Colorado Department of Human Services child welfare administrative data and integration with the Child Welfare Training System Learning Management System, to yield the capacity to assess impacts from a range of staff development services, by linking the staff development services to performance information (productivity, case outcomes, etc.) available through child welfare administrative data.
- Support epidemiologic studies using child maltreatment administrative data (child welfare and health data). Provide supports to research teams working with administrative data from a range of jurisdictions/sources (i.e. various systems, states, countries). Provide supports to research teams working with administrative data from a range of jurisdictions/sources (i.e. various systems, states, countries).
Qualifications
Minimum Qualifications:
- 2 years experience working with large, complex datasets.Master’s degree in relevant field, including but not limited to MA, ME, MS, MPH.At least 1 year experience cleaning/organizing data for analysis.
- Must successfully pass a drug test through Children’s Hospital Colorado
- Must be willing and able to pass a national criminal background check
- Proficiency in SQL coding for data management and extraction, as demonstrated by coursework, examples of coding projects or other documentation.
- Prior work with a social or human service delivery system.
- Experience developing and implementing quality assurance methods.
- Experience developing and implementing at least one data use/sharing agreement.
- Strong organizational, leadership, and time-management skills to help develop and grow Kempe’s administrative data research program over time.
- Ability to effectively communicate with providers and external organizations, and other faculty
- Ability to manage, multiple tasks, timelines, and resources.
- Ability to run Zoom and other virtual platforms to perform meetings and trainings.
- Ability to use Excel, PPT, Microsoft Office, and project management tools.
- Understanding of and commitment to principles of data analysis related to disparities and intersectionality; demonstrated commitment and leadership ability to advance diversity and inclusion.
- Ability to communicate effectively with professional, administrative and other personnel; to effectively present information both orally and in written form in the office setting as well as outside the Center.
- Ability to perform with a high degree of independent action and to prioritize a high volume of work to achieve a high level of productivity and accuracy.
- Efficiently construct/format/link datasets to prepare for analysis.
- Possess expertise using relational databases.
- Proficient in one or more of the following: a statistical package (Stata, SAS or R), data visualization (e.g. Tableau and/or infographics), predictive modeling (e.g. logistic regression, tree-based models).
Job Category: Faculty
Primary Location: Aurora
Schedule: Full-time
Posting Date: May 5, 2022
Unposting Date: Ongoing
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