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The mission of the USC Suzanne Dworak-Peck School of Social Work is to improve the well-being of vulnerable individuals and communities, advance social and economic justice, and eradicate pressing societal problems in complex and culturally diverse urban environments throughout Southern California, the nation and the world. Our mission is achieved through value-driven, scholarly and creative social work education, research, and professional leadership.
Serving a population of over 600 employees that are located across the country, the USC Suzanne Dworak-Peck School of Social Work is seeking a full-time Project Specialist. The Project Specialist will work with Dr. Daniel A. Hackman, and will contribute to a range of studies that examine how social and environmental contexts become associated child and adolescent development and contribute to disparities in health and well-being. These studies use multi-modal data, including data on social contexts and adversity, psychological development, spatial / neighborhood data, biological and neuroimaging data, health and mental health. The focus of the position will be on data management, statistical analysis, and contribution to manuscript preparation and grant applications.
Accountabilities include, but not limited to:
Statistical analysis planning and implementation, with range of analysis approaches that include advanced statistical techniques such as mixed effects modeling, structural equation modeling, and analyses of growth and change.
Data management and processing
Summarize methods and analysis results, and prepare reports and results for the PI and collaborators, including graphical approaches to visualize data
Contribute to the production of all aspects of manuscripts for publication, including the drafting of manuscript sections.
Conduct literature reviews and summarize findings to inform both research questions / analysis design as well as for manuscript or grant submissions.
Contribute to the preparation of grant applications, including literature reviews, preliminary data analysis, writing draft sections, and support with a variety of other grant-related tasks
Contribute to the production of abstracts and presentations,
Work with the PI on tasks related to IRB documentation, submissions, amendments, and correspondence.
Participate with the PI in report preparation and conduct other administrative or research-related tasks as needed.
Participate in regular research team meetings and other research-related meetings. Meet regularly with the PI concerning all project tasks.
Other duties, as assigned
Preferred Education and Qualifications:
Masters degree preferred, particularly in social sciences, psychology, biostatistics, public health, neuroscience, human development, education, social work, or a related discipline with a research and quantitative focus.
3+ years of research experience, including statistical analysis, manuscript preparation, and grant-writing / preparation
Strong quantitative skills and background and experience in data management and advanced research design and statistical analysis with relevant advanced techniques.
Expertise or interest in psychological and biological development, including neuroscience, and in the effects of social and environmental adversity
Strong computing skills and experience with programs such as R, Mplus, SAS, Stata, and/or SPSS
Excellent written communication skills and experience in writing scientific manuscripts and/or grant applications
Strong organizational skills, professionalism, motivation, independence and self-sufficiency.
Strong interpersonal skills, as well as strong oral communication skills.
Flexibility and the ability to work well in a research teams and to work effectively with a diverse team and community
Position Details: Full-Time position (40 hours/ week).
Submission of a cover letter and resume / CV is required to complete this application.
Minimum Education: Bachelor's degree
Minimum Experience: 2 years
Minimum Field of Expertise: Directly related education and experience to be able to advise on project procedures and analysis techniques