Precision AQ
Remote · North America
Intern, Health Economics and Outcomes Research
- Who can apply
- Canada
- Posted
- How to apply
- On Precision AQ’s own site
- At Precision AQ
- 12 live remote roles
About the role
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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