Epidemiology Analyst

United States-Pennsylvania-Remote, United States

Parexel

For over 35 years Parexel has been a trusted global CRO and biopharmaceutical services company. Learn more about how we can help.

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When our values align, there's no limit to what we can achieve.
Β 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Parexel is hiring an Epidemiology Analyst to work remotely from any location in the continental US.

About the Role

We are seeking an experienced Epidemiology Analyst to join our dynamic team. The successful candidate will play a crucial role in leading statistical analysis, programming, and database management for epidemiologic projects across our business units (GenMed, Spec Care, Vaccine). This position offers an exciting opportunity to implement advanced methods, technology, and innovations in epidemiology and safety sciences, with a focus on demonstrating product safety and improving health outcomes.

Key Responsibilities

  • Lead statistical analysis and programming (using SAS, R, SQL, Python, etc.) for epidemiologic projects
  • Manage databases and provide documentation for programs, databases, and systems
  • Collaborate with RWD and Information System staff on database evaluation, acquisition, storage, and management
  • Implement new advanced methods, technology, and innovations in epidemiology, benefit-risk assessment, and safety sciences
  • Contribute to innovative projects using advanced AI technology
  • Stay current with new developments in programming and analytic methods

Qualifications

Education

  • Master's degree in statistics, biostatistics, epidemiology, mathematics, computer science, or related quantitative field
  • Doctoral degree preferred

Experience

  • Minimum 5 years of experience with SAS programming in public health-related areas (e.g., Epidemiology, Biostatistics, or Outcome Research)
  • Experience with various operating systems, including UNIX and Windows
  • Familiarity with structured programming principles and documentation procedures

Knowledge and Skills

  • Extensive knowledge of statistical programming (especially SAS), database management, and statistical analysis
  • Proficiency in data science and comfort with latest digital technologies (e.g., LLM, ML, DL, ANN, NLP)
  • Understanding and experience using US-based real-world data (claims and medical record databases)
  • Excellent communication and analytical skills
  • High level of self-motivation, initiative, and attention to detail
  • Ability to work independently and as a team player
  • Capacity to manage multiple projects under pressure with tight timelines
  • Fluency in English
  • Experience with other programming languages (e.g., Python, SQL, R) is desirable

What We Offer

  • Opportunity to work on cutting-edge projects in epidemiology and safety sciences
  • Collaborative and innovative work environment
  • Competitive salary and benefits package
  • Professional development and growth opportunities

If you are passionate about leveraging data and advanced analytics to improve health outcomes and have a strong background in epidemiology and statistical programming, we encourage you to apply for this exciting position.

EEO Disclaimer
Parexel is an equal opportunity employer.Β  Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index πŸ’°

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Category: Analyst Jobs

Tags: ANN Biostatistics Computer Science Consulting LLMs Machine Learning Mathematics NLP Python R Research SAS SQL Statistics

Perks/benefits: Career development Competitive pay Health care

Regions: Remote/Anywhere North America
Country: United States

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