Permanent Staff (EHRA NF)Department:
Social Medicine-424901Working Title:
Data ManagerAppointment Type:
EHRA Non-FacultyPosition Posting Category:
Research ProfessionalsSalary Range:
Dependent on QualificationsFull Time/Part Time?:
Full-Time PermanentHours per Week:
20037547Posting Open Date:
01/15/2021Open Until Filled:
NoProposed Start Date:
The Center for Health Equity Research (CHER) brings together collaborative, multidisciplinary teams of scholars and community members to improve health in underserved communities through a shared commitment to health equity, innovation, and translational research. The vision of the Center is to create and maintain cross-disciplinary synergy: The combination of individual perspectives, resources, and skills creates a whole that is greater than the sum of its parts and results in research collaborations with increased creativity and more comprehensive solutions to complex problems. The Center does this through advancing research methods; effectively translating research discoveries; conducting research that addresses patient and community centered outcomes; and viewing equity in health care as an issue of quality.
The Data manager position will be housed within Abacus. Abacus is the program evaluation and research consultancy within the Center that specializes in working with health and human service organizations. Abacus’s leadership consists of experienced evaluators who maintain currency with state-of-art research and evaluation methodologies. Abacus uses a variety of quantitative, qualitative, and mixed method approaches to address the research and evaluation questions identified in our projects. This position would work specifically within Abacus.
The RADx-UP Coordination and Data Collection Center (CDCC) supports the NIH-funded RADx-UP Program is rooted in a community-centered approach that engages communities involved in this program by providing a robust, flexible, participatory, transparent, and sustainable infrastructure to advance COVID-19 testing science according to the needs and interests of communities.
Under the direct supervision of the Associate Evaluator, the Data Manager has expertise in management of data across multiple levels, programs, and cross-sector stakeholders projects. The Data Manager will coordinate all aspects of data management and tracking for all tracking and evaluation (T&E) efforts for the National Institutes of Health-funded RADx-UP program and the Coordination and Data Collection Center (CDCC), which is a collaboration between UNC and Duke Clinical Research Institute (DCRI). The Data Manager is responsible for coordinating with all the awardees on all CDCC aspects related to data collection and management. The individual will have experience working with Tableau data visualizations, electronic health record data, cleaning and preparing data for analysis, and familiarity with statistical packages appropriate for the study (e.g. SAS/SPSS). The data manager will work closely with the biostatistician and other evaluation staff and faculty. The successful candidate must have experience in working with mixed methods data and developing assessment and evaluation tools. They will also have strong analytical and communications skills, as well as an acute attention to detail.Educational Requirements:
Minimum of a master’s degree in public health, social sciences or related field, PhD preferredQualifications and Experience:
Five years’ experience working in collaborative environments. Substantial and demonstrated ability to work independently and within complex research environments. Strong interpersonal skills, organizational skills, and communication skills are required. Documented skills and experience in project management. Demonstrated ability to think critically and creatively, to help plan the work of others, and to work collaboratively with a variety of individuals.Equal Opportunity Employer :
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.Special Instructions:
Writing samples should demonstrate a candidate’s program evaluation knowledge.