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We are seeking Research Assistants to contribute to research efforts on projects aiming to decrease nicotine use behaviors through innovative brief online and mobile-based interventions with young adults. There will be multiple opportunities to collaborate with researchers across the University of Southern California; primarily, with researchers in the Department of Population and Public Health Sciences and the Institute for Addiction Science.
Research Assistantships are available on a volunteer basis. Qualified students within USC and at other institutions, including recent graduates, are welcome to apply.
We prioritize assistantships to students who are interested in committing to:
- At least one semester of volunteering
- 6-8 hours of volunteering per week and attending weekly lab meetings
Responsibilities include:
- Assist with participant online recruitment and retention
- Conduct eligibility screening interviews with participants over the phone
- Track survey completion rates and send follow-up and reminder texts/emails to participants
- Create and manage study materials, including online recruitment ads
- Build and test surveys in Qualtrics (web-based data collection tool)
- Perform comprehensive literature reviews on emerging topics related to substance use, especially nicotine use, and contribute to the preparation of peer-reviewed manuscripts (opportunities for significant publications)
- Data wrangling: transforming raw data to appropriate data formats for analysis
Required Qualifications:
- Pursuing a bachelor’s degree in Psychology or related field, or equivalent combination of education and experience
- Strong writer in APA style
- Strong organizational and interpersonal skills.
- Demonstrated ability to work independently and collaboratively
Preferred Qualifications (however, we are happy to provide training in these areas):
- Familiarity and experience using online survey software (e.g., Qualtrics)
- Computer competency and knowledge of data cleaning
- Familiarity with conducting data analysis and using data analysis software (e.g., SPSS)