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AI Summary

The intern will support the Evidence Solutions team by conducting systematic literature reviews and assisting in the development of health economic models. They will also contribute to client deliverables, including reports, presentations, and evidence tables while collaborating on internal workflows.

 

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

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.

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

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