Entry Information Science Professional

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

About the Role

This entry-level Information Science Professional position with the College of Nursing at the University of Colorado Anschutz Medical Campus supports research, scholarship, and strategic priorities by providing project support within the Office of Research and Scholarship. The role assists faculty, investigators, and College leadership across various research activities, grants, and special projects. This is a 0.50 FTE funded position with potential for increased FTE based on funding availability. Work is performed under guidance and direction in a training and development capacity.

Key Responsibilities

• Collaborate with and support Principal Investigators (PI) and stakeholders in research data management and data analysis.
• Perform data management and basic statistical analyses using established protocols.
• Assist with implementing established analysis pipelines, programming, and data visualization techniques for research datasets.
• Assist with integrating and validating data from multiple sources to ensure data quality and integrity.
• Contribute to assigned components of research programming projects.
• Write and maintain scripts to access databases and analyze data.
• Assist with building and updating REDCap projects, data collection instruments, and simple web-based tools.
• Assist faculty and ORS staff with research support activities, including compiling data, tables, and figures for grant proposals and progress reports, and maintaining IRB and human subject compliance documentation.
• Participate in training and professional development to build skills in research data management, informatics methods, and research compliance.
• Assist with creating and updating databases (e.g., REDCap, Microsoft SQL).
• Assist with managing research datasets, conducting basic analyses, integrating, and validating data from research projects.
• Support the development of study protocols and operations manuals, and assist with user guides and support for research data systems.
• Maintain established tracking and record-keeping systems for study-related data.
• Assist faculty and ORS staff with reporting to sponsors and stakeholders.
• Assist with troubleshooting problems related to research database systems and escalating issues.
• Help track elements of research projects to assess the impact of proposed changes on data collection systems.
• Complete other database, regulatory, and research-related tasks as assigned.

Requirements & Tech Stack

• Applied or computational mathematical analyses.
• Data interpretation.
• Coding.
• Grounded theory methodology.
• Statistical analyses.
• Experience with electronic health records and databases.
• Programming languages (e.g., R, Python, Perl, Java, C++).
• REDCap.
• OnCore.
• Microsoft Office.
• Epic.
• Grafana, Tableau, or similar data visualization tools (preferred).
• Drupal or similar web coding tools (preferred).
• REDCap or other electronic data capture systems (coursework or experience preferred).

Qualifications

Minimum Qualifications

• Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field.
• Substitution: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor’s degree on a year-for-year basis.

Preferred Qualifications

• Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field.
• Experience analyzing data using high-performance computing.
• Clinical research or related experience.

Knowledge, Skills, and Abilities

• Working knowledge of basic statistical principles relevant in medical research.
• Ability to analyze problems and apply quantitative analytical approaches.
• Willingness to learn new programming languages.
• Familiarity with statistical analytical concepts and methods.
• Ability to communicate effectively, both in writing and orally.
• Ability to establish and maintain effective working relationships.
• Outstanding customer service skills.
• Knowledge of basic human anatomy, physiology, and medical terminology.
• Ability to learn and interpret research protocol information.
• Outstanding organizational skills and attention to detail.
• Ability to represent the University professionally.
• Ability to collaborate as a team member and work independently.
• Innovative problem-solving skills and ability to thrive in a fluid, complex environment.
• Familiarity with, or ability to learn, institutional and governmental research administration policies and procedures.
• Ability to strictly follow IRB, FDA, and HIPAA regulations.
• Proficient use of computers and relevant software and database applications.
• Ability to master new software programs.
• Strong organizational and time management skills.
• Ability to support project management activities.

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

Conditions of Employment

• Applicants must be legally authorized to work in the United States without requiring sponsorship.
• No work visa sponsorship or employment authorization will be provided now or in the future.