Research Coordinator (Research Assistant 2)
Job Title: Research Coordinator (Research Assistant 2)
Job ID: 2019211
Location: Storrs Campus
The Research Coordinator (Research Assistant 2) will work closely with the Program Director and Principal Investigator to oversee center activities and research tasks for multiple research projects conducted in the UConn Center for mHealth and Social Media at the Institute for Collaboration on Health, Intervention and Policy (InCHIP). The desired applicant will have previous experience in behavioral research.
DUTIES AND RESPONSIBILITIES
- Assist with development of the study protocols.
- Assist with the training and supervision of students and research staff.
- Help monitor the organization, entry, completeness, and adequacy of study data.
- Recruit participants and complete eligibility screenings in person and by phone.
- Schedule and complete study assessments.
- Complete evening calls or study visits as needed (no more than 2 times per week).
- Manage group settings and content feed for Facebook groups.
- Assist with the preparation of study reports.
- Coordinates registration and logistics of Center events including webinars, trainings, presentations, and conferences.
- Maintains the Center website to edit with updated information regularly.
- Responsible for development of digital media.
- Attend staff meetings as required.
- Perform other research-related duties as required.
- Bachelor's degree and 2-3 years of post-degree experience or a Master's degree and 0-1 year of post-degree experience.
- Previous research experience involving human subjects.
- Experience in health and/or behavioral research.
- Work experience liaising with the public.
- Experience with data entry, word processing, or related computer skills
- Excellent communication skills, both oral/written and interpersonal skills necessary to interact with the general public, study personnel, and university staff.
- Ability to perform calls or study visits on evenings or weekends as needed.
- Reliable transportation to off-campus sites.
- Experienced with social media platforms, including Facebook, Twitter, and Instagram.
- Previous website editing experience
- Video editing
- Strong writing skills
- Preparing IRB documents.
- Experience with developing and working in tracking systems such as REDCap.
- Experience using statistical software such as SAS or SPSS.
This is a full-time, 40 hours/week grant-funded position. The investigators have projects sponsored for the next several years. Salary will be commensurate with successful candidate's background and experience. The University offers outstanding medical and retirement benefits.
Please apply online at UConn Careers, (www.jobs.uconn.edu), Staff Positions (Search # 2019211). Please submit a cover letter, curriculum vitae; names of three references should be included in the cover letter. Screening of applications will begin immediately.
Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2019211)
This job posting is scheduled to be removed at 11:59 p.m. Eastern time on December 4, 2018.
All employees are subject to adherence to the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp.
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.