The School of Public Health division of Biostatistics and Health Data Science is seeking applications for a full-time IT Developer Pro 3 position (9703IM IT Pro 3-IT Multidiscipline) to join the Coordinating Centers for Biometric Research (CCBR).
The School of Public Health (SPH) is committed to antiracism and anti-oppression and welcomes you to join us in our pursuit of building equity and driving justice. We particularly encourage applications from those who belong to groups that have been historically underrepresented in our School, including those who are American Indian, Black, Indigenous, and people of color, those with disabilities, veterans, and those from LGBTQIA+ communities.
Starting Salary Range: $78-103K annually, dependent upon the selected candidate’s relevant qualifications, experience, and internal equity.
Work Arrangements: The University of Minnesota endorses a “Work. With Flexibility.” and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position will have a hybrid work option with a preferred 3 days onsite during core business hours. The successful candidate will be provided University-configured equipment and supportive technology tools, however, they are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview. Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, TC Campus - East-bank
Key Responsibilities:
Software Development - 60%
Data Management Support - 30%
Provide training to other staff on system usage - 10%
Responsibilities
Software Development - 60%
Extend and improve the functionality of a custom data management system used for clinical research studies
Design and develop additional tools to complement the existing custom data management system
Design and develop web-based applications in support of clinical research. For example, development of randomization applications for randomized clinical trials.
Data Management Support - 30%
Use the custom data management system to support data collection and data management for large complex clinical research studies
Work with teams of biostatisticians and data managers to understand the need for new functionality and develop system requirements for such functionality
Create data management workflows to integrate data from external sources into databases on local servers
Participate in the design and implementation of data collection systems. It is essential that these systems maintain accurate data that can be immediately accessed for ongoing clinical trials of experimental treatments where participant safety is paramount.
Collaborate with biostatisticians, laboratory personnel, regulatory staff, and clinical researchers on high profile public health research with a strong emphasis on clinical trials.
Provide training to other staff on system usage - 10%