Practicante En Ingeniería - Global Pharmacovigilance Case Managment

39med

Hybrid
Python programming skills
Data analysis with pandas numpy
Power bi visualization tools
This internship offers a unique opportunity to apply engineering knowledge to optimize global pharmacovigilance processes through technology and automation

Job Summary

  • This internship offers a unique opportunity to apply engineering knowledge to optimize global pharmacovigilance processes through technology and automation.
  • Candidates will utilize programming languages like Python and R alongside data visualization tools such as Power BI to support evidence-based decision-making.
  • The role includes exposure to international teams and meetings, providing valuable chances to improve English conversation skills and cross-cultural networking.

Matching Summary

This internship offers a unique opportunity to apply engineering knowledge to optimize global pharmacovigilance processes through technology and automation.

Skills & Requirements

Must-have

  • Python programming skills
  • Data analysis with Pandas NumPy
  • Power BI visualization tools
  • Intermediate to advanced English
  • University practice approval required

Nice-to-have

  • Agile methodology experience
  • Flask Django web frameworks
  • R Studio proficiency
  • Visual Basic knowledge
  • Global team collaboration

Key Requirements

  • Current university student in Engineering or related field
  • Valid university endorsement for internships
  • Advanced Excel proficiency

Work Rights

Not specified

Tailored Resume

Cover Letter