Note: The job is a remote job and is open to candidates in USA. Tigerlily Foundation is a national breast cancer foundation dedicated to education, advocacy, empowerment, and support for women affected by breast cancer. The Research & Data Analytics Intern will support the POWER Center of Excellence and Healing in Power research initiative by managing health-related survey data, conducting supervised statistical analyses, interpreting findings, and communicating results to technical and nontechnical audiences.
Responsibilities
- Review the Healing in Power research purpose, survey instrument, research questions, datasets, and project documentation
- Develop an individualized learning plan connecting academic goals to internship activities
- Clean, validate, organize, and prepare health-related survey data while documenting data-quality concerns
- Develop or enhance the project's data dictionary, codebook, and analytical documentation
- Apply responsible data stewardship, confidentiality, research integrity, and data-security practices
- Assist with an analysis plan and conduct approved descriptive and bivariate statistical analyses under supervision
- Participate in multivariate analysis when appropriate to the project, timeline, and your demonstrated competency
- Interpret findings while recognizing assumptions, limitations, and appropriate conclusions
- Prepare written summaries, tables, charts, figures, dashboards, and presentation materials for technical and nontechnical audiences
- Present findings to designated stakeholders and revise work based on feedback
- Complete a final presentation and reflection highlighting findings, contributions, and lessons learned
Skills
- POWER COE | Remote | 8-12 Weeks | 15 Hours Weekly | Unpaid; Academic Credit Required
- This opportunity is ideal for graduate students or advanced undergraduate students pursuing degrees or careers in: • Public Health, Epidemiology, or Health Sciences • Biostatistics, Statistics, or Data Science • Psychology or Sociology • Program Evaluation or a related field
- Strong candidates will have coursework in research methods and statistics; working knowledge of SPSS, R, Excel, or comparable analytical software; strong analytical, written, and organizational skills; and a commitment to confidentiality, research integrity, and ethical data practices
- Approximately 10-15 hours per week
- Experience working with survey or research data is preferred
Benefits
- Fully remote
- Applied experience working with health-related survey data in a national nonprofit setting.
- Practical skills in data cleaning, validation, documentation, statistical analysis, and visualization.
- Experience translating research findings for technical and nontechnical audiences.
- Direct mentorship, regular feedback, and exposure to career pathways in public health, nonprofit research, program evaluation, and data analytics.
- Professional portfolio materials, which may include a data-quality assessment, codebook, analytical outputs, visualizations, and presentation materials, subject to confidentiality requirements.
- Potential exposure to advanced statistical techniques, manuscript or abstract preparation, collaborator meetings, and broader research dissemination activities, depending on project readiness and academic preparation.
- Academic credit aligned with your institution's requirements.
- Orientation, an individualized learning plan, weekly mentoring meetings, regular feedback on work products, and a midpoint professional-development discussion.
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