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

Job Summary:

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.

Supervision Received:

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.

Supervision Exercised:

None

Examples of Duties Performed:

• 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%).

Additional Examples of Work Performed:

• 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.

This description is a summary only and describes the general level of work being performed; it is not intended to be all-inclusive. The duties of this position may change from time to time and/or based on business need. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority.

Work Location:

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

Why Join Us:

CU Nursing is an amazing place to be. We have the distinct advantage of being a part of a huge medical campus with three incredible hospitals – the VA, the nationally ranked University of Colorado Hospital, and the Children’s Hospital Colorado where our nursing students and faculty learn every day. From our beginning 125 years ago as part of the School of Medicine at CU Boulder to our current home at the Anschutz Medical Campus, the college has been a recognized leader in nursing education (ranked #10 in online MS graduate programs by U.S. News & World Report 2023). Our faculty, students, and staff have been instrumental in shaping the profession of nursing and teaching the next generation of nurses while treating patients in our own nurse-led clinics. Be a part of an innovative, dynamic, diverse, and exciting workplace -- helping make great things happen. Join us in our quest to boldly transform health together.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package, including:

• Medical: Multiple plan options

• Dental: Multiple plan options

• Additional Insurance: Disability, Life, Vision

• Retirement 401(a) Plan: Employer contributes 10% of your gross pay

• Paid Time Off: Accruals over the year

• Vacation Days: 22/year (maximum accrual 352 hours)

• Sick Days: 15/year (unlimited maximum accrual)

• Holiday Days: 15/year

• Tuition Benefit: Employees have access to this benefit on all CU campuses

• ECO Pass: Reduced-rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

• Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.