The Beckman Institute for Advanced Science and Technology seeks to fill a vacancy for a full-time Visiting Research Data Manager. The Visiting Research Data Manager will work closely with a team of investigators in a large scale, epidemiological, prospective, birth-cohort study to manage and ensure quality control and confidentiality in all aspects of data management for the study.
Duties and Responsibilities: The Visiting Research Data Manager will have the following duties: (1) supervision and quality control of data coding, entry, and cleaning; (2) organization, documentation and maintenance of databases; (3) development of protocols for data management processes, finalization of these procedures with the PI and co-investigators and training of other research staff to use the protocols when accessing and using study data (4) supervision of team members (students, volunteers, and Research Assistants) involved in data entry and data cleaning including task assignment, approval of leave time, scheduling, and training in the confidential nature of the data; (5) communication and coordination with research partners, including local OBGYN clinics and hospitals for transfer of data such as highly confidential electronic medical records; (6) harmonization and sharing of data with our research partners.
The Visiting Research Data Manager is a full-time, benefits-eligible Academic Professional position that may become regular at a later date. Salary is commensurate with skills and experience and candidates must be eligible to work in the United States. In order to ensure full consideration, applications must be received by August 9, 2017. Applicants may be interviewed before the closing date; however, no hiring decision will be made until after that date. The expected start is as soon as possible after the closing date.To apply, please create your candidate profile at http://jobs.illinois.edu and upload your cover letter, resume, and names/contact information for three references as a single PDF file by August 9, 2017. All requested information must be entered for your application to be considered. For further information, please contact Beckman Institute Human Resources at firstname.lastname@example.org.
The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.
The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO. To learn more about the University’s commitment to diversity, please visit http://www.inclusiveillinois.illinois.edu
A Bachelor’s degree
Experience working in research involving health-related data
Ability to maintain confidentiality of subjects' personal data
Ability to work effectively both independently and with a team
Strong organizational skills and ability to work with large datasets
Technologically savvy and strong quantitative skills
Experience with MS Office Word, Excel, PowerPoint, Access, at least one statistical software program such as SPSS, SAS, or STATA
Detail-oriented, adaptable, fast learner, problem-solver, multi-tasker
Excellent interpersonal and communication skills
Interest in research on women and children’s health
Ability to convey enthusiasm about the research to team members, participants and the general public
MPH or a Master degree in a field that involves data management
Experience working in highly confidential, health-related research project involving human subjects
Experience managing large, health or health-related datasets
Experience creating surveys and/or databases using survey tools such as Gizmo, RedCap, Qualtrics or Microsoft Access
Experience conducting confidential interviews over the phone and in person
About The Beckman Institute for Advanced Science & Technology
The primary mission of the Beckman Institute for Advanced Science & Technology is to foster interdisciplinary work of the highest quality, transcending many of the limitations inherent in traditional university organizations and structures. The Institute was founded on the premise that reducing the barriers between traditional scientific and technological disciplines can yield research advances that more conventional approaches cannot.