Full-Time Lab Coordinator: The Every Day Learning Study
We are seeking a highly motivated and organized individual to be the project manager for the Every Day Learning research project. It is an NSF-funded study about how children learn math from parent-child interactions at home. We are particularly interested in working with 2- to 3- year-olds in low-socioeconomic status families. The study is being conducted in three locations (NYU, University of Pittsburg, and UMD). The lab coordinator will work side-by-side with research assistants, graduate students, and Dr. Natasha Cabrera, who is the principal investigator on this project at UMD. Starting date: January 2019 or as soon as possible.
Responsibilities will include, but are not limited to:
- Managing the day-to-day operations associated with the study, tracking progress against milestones and goals.
- Maintaining documentation of training requirements for all key personnel.
- Assisting in identifying potential study families and enrolling participants into research studies.
- Preparing assessment materials and protocols for assessment.
- Conducting home visits for data collection and managing data.
- Assisting with data analysis.
- Assisting with the preparation of publications, presentations, reports using data affiliated with the project.
- Maintaining categorized budget costs for protocols.
- Supervising undergraduate students who are working on the project.
- Participating in the planning and development of future research protocols.
At least Bachelor’s degree in Human Development, Child Development, Psychology, Education, or other related fields.
- Excellent organizational and managerial skills.
- Experience conducting research and working in a laboratory setting preferred.
- Proficiency with Microsoft Office (Word, Excel, PowerPoint).
- Experience with statistical software (e.g., SPSS) and conducting data analyses preferred.
- Excellent skills interacting with infants, children, and parents.
- Fluency in Spanish is required.
- Experience working with diverse populations preferred.
To apply for this position, please submit a cover letter describing your research experiences and career goals, a resume, and contact information for three references electronically to Tina Chen (email@example.com).