Position Summary
This position may be eligible for a hybrid work arrangement that may include a partially remote work location consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Research Scientist serves as a project leader on funded research project(s) at the Frank Porter Graham FPG Child Development Institute or other collaborative research at UNC Chapel Hill. The Research Scientist conducts research in early care and education provides leadership on the project(s) conducts substantive data analysis and supervises graduate and doctoral students. The Research Scientist is actively engaged in one or more research or evaluation projects often serving as the project manager or statistician. They assist in acquiring funding (including contributions to writing grant proposals) formulate research methods develop and implement analysis plans facilitate research quality identify potential problems and solutions coordinate data collection and verification and/or act as a liaison with other campus units. The Research Scientist has evidence of substantial scholarship such as dissertation research publications book chapters written evaluation plans grant proposals measures white/grey papers or technical reports. The individual may be actively engaged in productive public service or volunteer professional service at the local state or national level related to their field of expertise. There is evidence of professional ties in the field in the form of membership in professional organizations occasional reviews for journals or foundations or service on advisory boards.
Required Qualifications Competencies And Experience
Demonstrated experience with report and manuscript preparation conducting and analyzing data from focus groups and interviews grant proposal writing and intermediate or advanced statistical analyses. Demonstrated expertise in effectively translating research for policy and practice purposes and evidence of forming ongoing working relationships with local state and/or federallevel systems leaders in the area of early care and education. Knowledge of rigorous research study designs experience as part of a research study team and willingness to develop flexible systems to provide rapid feedback of research results to partners. Consult with supporting policy partners to identify priority areas where research might inform decisionmaking. History of producing and/or publishing policyoriented research briefs and reports as a lead or key author. Optimally the candidate will also have demonstrated experience with SAS R Excel or other statistical analysis or data visualization software with a willingness to collaborate in statistical programs in SAS or R as required. The ability to participate in a collegial environment that fosters ongoing collaboration with faculty and stakeholders from a variety of disciplines is essential. The preferred candidate will possess excellent verbal and written communication skills the ability to identify and solve problems and be highly flexible. Requires a desire to learn and a commitment to excellence.
Preferred Qualifications Competencies And Experience
Prefer a Ph.D. in Early Childhood Education Social Work Psychology Public Health or related disciplines or a Masters degree in a related discipline with three years of experience with leading advanced statistical and qualitative analyses manuscript preparation and/or grant proposal writing. Prefer a demonstrated interest in early care and education workforce and young childrens development developmental psychology or young children and their families school readiness quality of care or education policy. Previous employment experiences in one or more of these areas preferred. Prefer demonstrated proficiency in written communication public speaking and presentation knowledge of research qualitative and quantitative evaluation methodologies. Prefer the candidate will also have demonstrated experience with SAS R Excel or other statistical analysis or data visualization software with a willingness to collaborate in statistical programs in SAS or R as required.
Required Experience:
Staff IC