Intern, Health Economics and Outcomes Research

CanadaRemoteentry

Other

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Requirements Summary

Currently enrolled in an undergraduate or graduate program (preferred) in a healthcare-related field Demonstrated interest in healthcare research,

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We are seeking a motivated and detail-oriented Intern to support our Evidence Solutions team. This internship is ideal for students passionate about healthcare and research. You’ll gain hands-on experience in systematic literature reviews, health economics, and evidence-based analysis while contributing to real-world client deliverables.

Responsibilities

~1 min read

→Assist with systematic literature reviews and evidence synthesis across a range of healthcare topics
→Contribute to the design and implementation of health economic models
→Help interpret and communicate both quantitative and qualitative findings to internal and external stakeholders
→Support the development of memos, reports, evidence tables, presentations, and peer-reviewed publications
→Participate in client-facing meetings and provide administrative support for ongoing projects
→Collaborate with leadership to enhance internal workflows and operational efficiency
→Research and recommend optimal methodologies and implementation strategies
→Maintain and update tools and documentation to align with best practices

Requirements

~2 min read

Currently enrolled in an undergraduate or graduate program (preferred) in a healthcare-related field
Demonstrated interest in healthcare research, health policy or economics
Experience in research areas such as economics, public policy, epidemiology, public health, or operations research
Strong attention to detail and excellent time management skills
Ability to work independently and collaboratively within a team
Eagerness to learn and share knowledge
Excellent written and verbal communication skills
Strong analytical, organizational and critical thinking skills
Solid academic performance
Proficiency in Microsoft Office Suite
Formal training in quantitative and/or qualitative research methodologies
Familiarity with statistical programming tools such as R, SAS, or similar platforms

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Candidates must be legally authorized to work in the country of employment without employer sponsorship.