About the Project\nSepal is conducting a qualitative research study to define benchmarks of professional excellence in statistical analysis and research support. We are looking for experienced professionals to contribute their expertise through structured documentation of their work, creation of domain specific screening criteria, and development of high quality case studies.\nSelected contributors will help shape an industry informed framework for evaluating statistical analysis and research support expertise, with a focus on real world practices, decision making, and professional judgment.\n\nIdeal Participants May Hold Titles Such As\n- Statistical Assistant\n- Data Collection Specialist\n- Survey Research Assistant\n- Quantitative Analyst Support\n- Statistical Technician\n- Research Data Coordinator\n\nRequirements\n- Bachelor's degree in Statistics, Mathematics, Data Science, or a related quantitative field\n- Minimum 3 years of professional experience in statistical support, data collection, or research assistance\n- Proficiency in statistical software (SPSS, SAS, R, Stata, or similar)\n- Strong attention to detail and experience with data quality assurance\n- Fluent in English\n- Currently residing in the United States or Canada\n- Access to a computer with stable internet and video conferencing capabilities\n- Comfortable with remote work tools (messaging, video calls, uploading documents)\n- Able to work independently and follow written instructions\n\nWhat You'll Do\n- Share your professional journey and statistical analysis experience\n- Help define field specific evaluation criteria used in hiring statistical support personnel\n- Document at least one substantial data analysis project or research support initiative, including context, methodology, challenges, and outcomes\n- Participate in short feedback or calibration sessions as needed\n\nCompensation & Logistics\n- $45 to $70 per hour, depending on expertise and relevance, with bonuses for key contributions\n- Begins with a paid trial period\n- Paid every two weeks based on approved and tracked hours\n- Fully remote and async friendly, work at your own pace within flexible deadlines\n- Location: United States or Canada