Epidemiology & RWE Analytics Intern (Hybrid, 10–12 wks)

MSD Malaysia

Rahway (NJ)

Hybrid

USD 40,000 - 111,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work arrangement

Job summary

Merck & Co., Inc., Rahway, NJ, USA, invites qualified graduate students to apply for the 2027 Summer Internship through the Future Talent Program. Interns work on real projects in BARDS Epidemiology and RWE Capabilities & Analytics, with opportunities to present work at internal or external forums and to participate in department meetings.

Primary duties include literature reviews, real-world data analysis, model development, results interpretation, and creation of visualization tools.

Qualifications

  • Currently enrolled graduate student pursuing a PhD or PharmD with relevant epidemiology training.
  • Must have completed at least 2 semesters of graduate work by May 2027.
  • Ability to commit to full-time 10–12 weeks starting May/June 2027.
  • Effective oral and written communication skills.

Responsibilities

  • Summarize background information via targeted literature reviews.
  • Conduct data analysis on real-world health data to identify data quality and patterns.
  • Develop and validate prediction models and interpret results.
  • Contribute to protocol development and manuscript writing.
  • Create and update visualization tools (dashboards, geospatial visuals).
  • Prepare materials to explain AI/ML methods and findings.

Skills

Oral and written communication
Literature review
Teamwork
SAS
SQL
R
Python

Education

PhD in epidemiology/biostatistics/public health/data science or related field
PharmD with epidemiology training

Tools

SAS
SQL
R
Python

Job description

Merck & Co., Inc., Rahway, NJ, USA, invites qualified graduate students to apply for the 2027 Summer Internship through the Future Talent Program. Interns work on real projects in BARDS Epidemiology and RWE Capabilities & Analytics, with opportunities to present work at internal or external forums and to participate in department meetings.

Primary duties include literature reviews, real-world data analysis, model development, results interpretation, and creation of visualization tools.

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