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Internship Opportunity for Future Statistical Programmers at Pfizer

Published on

Job highlights

Work/Life Balance

Time management

challenging projects

Insurance

Pfizer is a leading global biopharmaceutical company committed to discovering, developing, and providing innovative healthcare solutions. With a mission to improve lives worldwide, Pfizer fosters a culture of inclusion, innovation, and excellence. The Global Biometrics & Data Management (GBDM) team plays a crucial role in ensuring high-quality data analysis and statistical programming for clinical trials.

Job Description: Statistical Programming Intern

Pfizer’s Statistical Data Sciences and Analysis (SDSA) team, under GBDM, is offering an exciting fixed-term internship for aspiring Statistical Programmers. This internship provides hands-on experience in statistical programming, data analysis, and advanced technologies like R, Python, and AI/ML.

Key Responsibilities:

  • Assist in delivering high-quality programming outputs for Pfizer’s clinical trials.
  • Work alongside full-time employees (FTEs) on SDSA projects involving statistical analysis, data visualization, and machine learning applications.
  • Gain exposure to clinical trial data, submission standards, and regulatory requirements.
  • Develop proficiency in SAS, R, Python, and other statistical programming languages.
  • Contribute to innovative solutions in biostatistics and data science.

Eligibility Criteria:

  • Currently pursuing a Master’s or M.Tech degree (final year) in:
    • Statistics / Biostatistics
    • Mathematics / Data Science
    • Biotechnology / Bio-Medical Engineering
    • Computer Science / IT Engineering
  • Strong analytical, problem-solving, and coding skills.
  • Passion for data science, AI/ML, and clinical research.

Internship Details:

  • Duration: 4-6 months (Starting April 2025)
  • Work Location: On-site (Chennai, India)
  • Stipend: Competitive (as per company policy)

Why Join Pfizer as an Intern?

✅ Real-world experience in biostatistics and clinical data programming.
✅ Mentorship from industry experts in statistical programming.
✅ Exposure to cutting-edge technologies (AI/ML, Python, R).
✅ Opportunity to work on global healthcare projects.
✅ Networking with professionals in the pharmaceutical industry.

How to Apply?

Application Link