Data Systems Analyst, Center for Human Research Coordination
Job no: 500220
College / VP Area: Research Office
Work type: Staff
Categories: Research & Laboratory, Full Time
Context of the Job:
The Center for Human Research Coordination is a specialized research central core that focuses on research coordination and data management of human subject research. The core works with faculty and their research team on research that is dependent on participants who volunteer to take part in their research. Without the help of research volunteers, this type of research cannot move forward. The core coordinates, recruitment, registries, repositories, and individual studies as well as secure the data. The core has a team of professionals, Data Systems Analysts, Research Coordinators, Research Manager and Assistant Director under the direction of PT Faculty member, Karin Silbernagel.
Under general direction of the Center for Human Research Coordination/CHRC Assistant Director, the Data Systems Analyst supports all clinical research activities where CHRC has been solicited to provide data management services. These services include operational support of servers and software, project management support through collaboration with researchers to collect requirements and build solutions, and strategic support through the identification of industry best practices, building a plan to apply the best practices and executing against that plan.
The Data Systems Analyst role provides direct responsibility for all clinical data management activities including data capture, quality control, coding, data mapping for statistical analysis and other usage activities. This individual will coordinate with a data management team that will define policies for data management, provide support for clinical study protocols, clinical study reports, interim analyses, regulatory submissions, and other study related activities as needed. This role will also be continually challenged to seek efficiency prospects such as automation opportunities and by refining the set of development tools used by the team.
- Collaborate with Faculty (PI – Principal Investigator) and their research teams to document data requirements and execute against those requirements to deliver a high-quality data collection and reporting solution.
- Development of REDCap projects for individual studies, clinical trials, multi-site projects and registries used by specific research teams.
- Provide expert guidance on all aspects of REDCap for faculty and their researcher teams as well as staff across the university.
- Provide Data Management support for the entire CHRC infrastructure, including server software upgrades, database storage monitoring, database backups, and application break-fix solutions.
- Liaison between the CHRC and internal Information Technology and other research departments.
- Drive project development through the incorporation of System Development Life Cycle (SDLC) methodology and share understanding of process with faculty, students, and staff.
- Respond to ad hoc reports requests from CHRC’s research coordination team, faculty and research teams across UD using REDCap.
- Maintaining database and related servers, which includes Redhat Enterprise Linux OS, Apache, PHP and MySQL/MariaDB maintenance.
- Provides user support using TeamDynamix ticketing system.
- Developing Extract, Transform, and Load procedures for a variety of systems.
- Maintaining data security and integrity within the research projects supported by CHRC.
- Collaborating with, advising, and reporting to CHRC coordination team in furtherance of the team’s goals.
- Assist with developing policies for data management of research and clinical data.
- Meeting with faculty and their research teams to understand how to best meet their data management requirements and needs.
- Serve on committees to help development adopting new federal guidelines as it relates to data management of human subject data.
- Strictly follow Uniform Guidance of the data management of human subjects’ data.
- Assist Assistant Director in developing data management policies and procedure for the Center.
- Developing long term coding projects in support of data management and analysis.
- Protecting digital information from unauthorized access or corruption.
- Training faculty, their researcher teams and staff in data management and protection best practices is vital to protect both UD and participants.
- Perform job-related duties as assigned.
- Bachelor of Science in Computer Information Science (CIS), Management Information Systems (MIS), or related discipline and two years of experience in a data warehouse environment, or equivalent combination of education and experience.
- Bachelor of Science in Computer Information Science (CIS), Management Information Systems (MIS), or related discipline and five years of experience in a data warehouse environment, or equivalent combination of education and experience.
- Experience working with data warehouses, database, Business Intelligence storage, and ETL (Extract, Transform and Load).
- Ability to understand how the various components of a data management system interact.
- Data modeling skills (conceptual, logical, and physical) with transactional and dimensional modeling experience.
- Good understanding of data modeling across relational databases such as star schema /dimensional data models.
- Experience in data mapping and transformation.
- Skilled Linux system administrator (Redhat distro) with focus on security hardening
- Experience with content management systems, such as WordPress
- Experience with report development, and data management disciplines.
- Strong analytical problem-solving skills.
- Exceptional verbal, presentation, and written communication skills.
- Ability to document user requirements, system configurations, and changes to both.
- Ability to track and work on multiple projects simultaneously with minimal supervision.
- Experience diagnosing and resolving digital infrastructure issues.
- Well organized and highly self-motivated and directed with keen attention to detail.
- Ability to clearly communicate data principles to a diverse audience of students, engineers, clinicians, and a lay audience.
- Solid project management skills demonstrated leadership and project management experience.
- A sound understanding, and demonstrated usage, of the stages in SDLC process.
- Experience with Health Information Technology or Clinical research software such as REDCap is a plus.
- Familiarity with biomechanical data is a plus.
- Working knowledge of object-oriented programming is a plus.
- Experience with design, construction, and maintenance of a secure web-based front end for databases for interaction with data by novice users is a plus.
- Ability to communicate effectively and interact well with people of all ages and diverse backgrounds and to maintain a positive and collaborative work environment, including the ability to communicate technical issues to non-technical people.
- Demonstrates an understanding and consideration of the differing needs and concerns of individuals with varying identities, cultures, and backgrounds.
- Committed to fostering a workplace culture of belonging, where diversity is celebrated, and equity is a core value.
- Ability to work flexible schedules to meet job requirements; requires occasional after-hours support.
Notice of Non-Discrimination, Equal Opportunity and Affirmative Action
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.
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