Intern, Health Economics and Outcomes Research
At a glance
- Location
- Canada
- Work type
- Remote
- Category
- Research
Intern to support the Evidence Solutions team in health economics and outcomes research; remote internship based in Canada, focusing on systematic literature reviews, health economic modelling, and communication of findings.
What they are looking for
Location: Remote, Canada Department: HEOR Location Type: Remote
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.
Key Responsibilities
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
Qualifications
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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