The Minnesota Cancer Clinical Trials Network (MNCCTN) is a multi-site cancer clinical trials network. The network, led by the Masonic Cancer Center at the University of Minnesota, brings cancer clinical trials to community sites across the state. As a growing program, MNCCTN offers qualified candidates the opportunity to inform and support the expansion of cancer clinical research across the state.
The Business Intelligence (BI) Associate reports to the Senior Project Manager and works closely with the Director, Regulatory Manager, Program Coordinator, and Project Managers. Incumbent at this level is an experienced professional competent to work at the highest technical level.
As a key member of the MNCCTN HUB team, the BI Associate’s primary responsibility is the formulation and oversight of metrics, data collection, and management systems related to the network's programmatic activities and overall operations. In collaboration with MNCCTN leadership, the BI Associate will define goals, standards, and definitions for data collection, analysis, reporting, and quality improvement. Using their knowledge of business intelligence and systems analysis, the the BI Associate provides technical expertise to address current reporting needs, as well as provide guidance to develop a robust data infrastructure for the network. The the BI Associate also participates in the development of the network’s processes and policies with a focus towards sustainability and growth.
A successful applicant will be a proactive and clear communicator, highly organized, skilled at translating business needs into technical specifications, and able to work collaboratively with a wide variety of internal and external stakeholders.
RESPONSIBILITIES 50% - Lead the development of program data collection methods â— Serve as a subject matter expert on the breadth of MNCCTN operations, processes, and planning as well as MNCCTN external partner data needs and limitations â— Elicit, understand, and document business and process requirements, and translate these into a data model and recommended data capture solutions â— Lead efforts to develop an integrated system for the capture of enrollment data, study management data, and operational data from internal and external sources â— Work with University units such as HST, Informatics, and MCC to understand where data lives, how it can be integrated, how to most efficiently develop operation-specific databases â— Oversee the transitioning of all existing programmatic data into a single source. Ensure quality and accuracy of data transitioned. â— Use “big picture” thinking to help design a database solution that will fit the current and future needs of the network as it continues to grow â— Create a user handbook for database use, for internal and external users â— Incorporate accessibility design principles when designing reports, data request forms, and other related documents
45% - Develop and Manage MNCCTN Reports â— Collect, validate, analyze, interpret, and summarize program data from multiple sources to drive insights into network performance â— Create reports, charts, graphs and presentations and recommend new strategies to improve MNCCTN operations focus on formatting, styling, and usability â— Coordinate data collection and reporting with Masonic Cancer Center requirements ensuring standardization and consistency across groups â— Develop standard reports and dashboards in collaboration with HST and other units for use by HUB and internal and external Partners â— Develop an electronic feasibility assessment system that meets the needs of MNCCTN HUB and external partners â— Create a report to easily track HUB and partner compliance with MNCCTN Standards â— Compile quarterly and annual reporting metrics, including study enrollment, staffing, operations, and professional development â— Ensure overall compliance and data integrity by conducting audits and analyses of internal and external data
5% - Professional Development â— Engage in professional development opportunities in relevant technologies and best practices
All required qualifications must be documented on application materials.
Required Qualifications â— BA/BS in Biological Sciences, Health Science, Computer Science, Informatics/ Public Health, Biostatistics, or another related field, plus at least two years of experience, or an advanced degree. â— Experience with electronic data capture systems (e.g. REDCap, Qualtrics, SmartSheets), data visualization tools (e.g. Qlikview, Tableau, PowerBI), and interest and ability to learn new data and analytic tools â— Demonstrated experience with data collection, analysis, and reporting â— Technical expertise regarding data models, database design development â— Proficiency with Microsoft Office and Google Suite â— Excellent communication and interpersonal skills with the ability to convey complex information to stakeholders of all levels â— Demonstrated ability to work well independently and in cooperation with colleagues in a collaborative setting â— Ability to support multiple projects simultaneously, prioritize assignments and work under limited supervision and comfortable providing timely response to urgent requests
Preferred Qualifications â— Experience with CTMS systems (e.g. OnCore, Florence eBinders, Medidata, Velos, etc.) â— Demonstrated ability to make complex decisions, solve problems, and practice hands-on management working across organizational processes
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.