Research Analyst Intern
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Job Description
Research Analyst intern at Intuitive assisting in scientific research projects. Collaborating across teams for evidence generation in health policy, epidemiology, and outcomes research.
Responsibilities:
- The Research Analyst will report to the Manager of Global Evidence Management team and will play a key role in executing scientific research projects focused on evidence synthesis, meta-analysis, and real-world evidence.
- Conduct high-quality systematic literature reviews, meta-analyses, and outcomes research.
- Collaborate with broader Global Access, Value and Economics, Market Access and Customers Analytics, Clinical and Regulatory Affairs.
- Execute systematic literature reviews according to PRISMA methods and Cochrane guidelines.
- Perform meta-analyses using statistical analysis tools such as R software.
- Conduct real-world evidence studies and collaborate with cross-functional teams to translate research findings into actionable insights.
- Present data and findings clearly and effectively to internal and external stakeholders.
- Prepare scientific manuscripts, abstracts, posters, and presentations for peer-reviewed journals and conferences, ensuring compliance with relevant publication standards.
Requirements:
- Must be currently enrolled in and returning to an accredited degree-seeking academic program after the internship.
- Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June.
- Current enrollment in an Health Policy, Epidemiology, Biostatistics, Outcomes Research, Health Services Research or related degree-seeking program at the Master’s or Doctorate level.
- Minimum of 3 years of relevant research experience in health policy, epidemiology, biostatistics, outcomes research, or health services research
- Demonstrated expertise in conducting systematic literature reviews according to PRISMA and Cochrane guidelines, including use of review management tools (e.g. EndNote, RevMan, RefWorks, Nested Knowledge)
- Intermediate proficiency in statistical analysis software (e.g. R, SAS, Python) and strong statistical analysis skills
- Prior experience with real-world data analysis and evidence generation is a plus
- Excellent verbal and written communication skills, with proven ability to present scientific findings effectively.
Benefits:
- Health insurance
- 401(k)
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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