Entry Information Science Professional; Part-time, FTE

University of Colorado Anschutz

Department:
College of Nursing

Job Title:

Entry Information Science Professional (Part-time, 0.5 FTE)

Position #:  - Requisition #: 41439

Entry Information Science Professionals utilize applied or computational mathematical analyses for a wide array of different applications and to solve complex problems. Projects may include data interpretation, coding, grounded theory methodology for the analysis of certain data, and statistical analyses. Information Science Professionals may also perform duties in labs/projects that use primarily electronic health records and databases.

This Information Sciences Entry Professional position with the College of Nursing at the University of Colorado Anschutz Medical Campus works within the Office of Research and Scholarship and provides project support to advance the research, scholarship, and strategic priorities of the College of Nursing. The position supports faculty, investigators, and College leadership across a broad portfolio of sponsored and non-sponsored research activities, grants and contracts, internal funding initiatives, research programs, and special projects.

This 0.50 FTE funded position has the potential for increased FTE, depending on available funding. Working under the guidance and direction of the supervisor and other Office of Research and Scholarship professionals, this entry-level position performs duties of limited scope in a training and development capacity.

This position will report to Mustafa Ozkaynak, Professor, College of Nursing. Work is performed with guidance and direction from the supervisor and other professionals in a training and development capacity.

None

• Under the guidance of senior staff, collaborate with and support Principal Investigators (PI) and other stakeholders in the area of:
• Research data management and data analysis (15%).
• Perform data management and basic statistical analyses using established protocols and methods (20%).
• Assist with implementing established analysis pipelines, programming, and data visualization techniques for research datasets (10%).
• Assist with integrating and validating data from multiple sources to ensure data quality and integrity (10%).
• Contribute to assigned components of research programming projects under the direction of project leads (10%).
• Write and maintain scripts to access databases and analyze data, with review by senior staff (10%).
• Assist with building and updating REDCap projects, data collection instruments, and simple web-based tools for PIs and other stakeholders (10%).
• Assist faculty and ORS staff with research support activities, such as compiling data, tables, and figures for grant proposals and progress reports, and maintaining IRB and human subject compliance documentation (10%).
• Participate in training and professional development to build skills in research data management, informatics methods, and research compliance (5%).

• Assisting with creating and updating databases, including data structures (e.g., REDCap, Microsoft SQL), study-related instruments, and user interface for data collection and reporting.
• Assisting with managing research datasets, conducting basic analyses, integrating, and validating data from research projects to ensure data quality, integrity, consistency, and security, as well as protection of participants' confidentiality.
• Supporting the development of study protocols and operations manuals and assisting with user guides and support for research data systems.
• Maintaining established tracking and record-keeping systems for study-related data (e.g., recruitment, enrollment, project milestones).
• Assisting faculty and ORS staff with reporting (quarterly, annual, ad hoc outcomes, processes, financial reports, project metrics) to sponsors and stakeholders.
• Assisting with troubleshooting problems related to research database systems and escalating issues to senior staff, as appropriate.
• Helping track elements of research projects to assess the impact of proposed changes on data collection systems.
• Completing other database, regulatory, and research-related tasks to support faculty, investigators, and ORS leadership, as assigned.

Hybrid - this role is eligible for a hybrid schedule of two (2) days per week on campus and as needed for in-person meetings.

CU Nursing is an amazing place to be. We have the distinct advantage of…