HEOR Intern, Real-World Evidence

2 hours, 13 minutes ago
Internship
Entry Level
Data Science and Analytics

Precision AQ

Precision AQ is a life sciences commercialization and healthcare consulting company that helps biopharma companies bring therapies to market and improve patient access. It describes itself as a commercialization partner for biopharma innovators, market access teams, and brand strategists, with expertise spanning access strategy, HEOR, medical communications, market access, data and analytics, branding, investor relations, and omnichannel/product solutions.

Business Consulting and Services
1001-5000

Description

  • Help streamline internal processes by improving efficiency, updating tools and documentation, and supporting development of interactive tools.
  • Investigate optimal research techniques and implementation strategies for internal and project work.
  • Support ongoing research projects, including literature reviews across diverse healthcare topics.
  • Assist with real-world evidence studies, including protocol development, data programming, and results generation.
  • Develop interactive summaries of real-world evidence analyses.
  • Interpret and communicate quantitative and qualitative findings to internal and external audiences.
  • Contribute to reports, results tables, presentations, and peer-reviewed manuscripts.
  • Participate in client-facing activities and provide administrative project support.

Requirements

  • Enrollment in an undergraduate or preferably graduate program in public health, epidemiology, biostatistics, bioinformatics, economics, data science, life sciences, or a healthcare-related field at the time of recruitment.
  • Proven interest in public health, life sciences, or pharmaceutical research and analytics.
  • Research experience in epidemiology, public health, health services research, health policy, economics, or a related field.
  • Foundational knowledge of epidemiologic concepts, including observational study designs, measures of association, and sources of bias and confounding.
  • Familiarity or competency with statistical programming tools such as R, SQL, SAS, or a similar platform.
  • Ability to work effectively both independently and as part of a team.
  • Detail-oriented with exceptional interpersonal and time management skills.
  • Strong academic record.
  • Proficiency with Microsoft Office.
  • Preferred: enrollment in an advanced degree program in the life sciences.
  • Preferred: strong understanding of the scientific method and formal training in quantitative methodologies.
  • Preferred: familiarity with interactive data visualization tools such as R Shiny, Power BI, Tableau, or equivalent platforms.
  • Preferred: familiarity with working in a virtual AWS environment, Git, and GitHub.

Benefits

  • Compensation range of $20 to $20 USD per hour.
  • Equal Opportunity Employer status with nondiscrimination protections.
  • Reasonable accommodation support for applicants with disabilities during the application process.
  • Privacy policy and California applicant privacy notice provided for data handling transparency.

Interested in this position?

Apply directly on the company website

Apply Now

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