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F.F. Hoffmann-La Roche AG

Internship in Biostatistics for PhD Students(m/w/x)

Basel
Full-timeInternshipOn-site
Data Science

Developing statistical frameworks for biomarker evaluation and causal mediation analysis using historical trial data. PhD enrollment in Statistics or related field, with R proficiency, required. Personal expression encouraged, open dialogue.

Requirements

  • Enrollment in PhD program in Statistics or related field
  • Strong theoretical foundation in statistics
  • Experience in applied statistics
  • Proficiency in R programming language
  • High organization
  • Eagerness to learn
  • Passion for connecting statistical theory with drug development
  • Familiarity with causal inference (especially mediation analysis)
  • Fluency in English
  • Non EU/EFTA students: enrollment at university for internship duration
  • Non EU/EFTA students: internship as mandatory part of curriculum

Tasks

  • Develop statistical framework for biomarker evaluation
  • Explore causal mediation analysis for surrogate validation
  • Evaluate causal mediation methods for robustness
  • Analyze historical Roche trial data across therapeutic areas
  • Conduct simulation studies to test causal mediation methods
  • Create reusable software for method implementation
  • Review existing methods through targeted literature
  • Consolidate findings into clear presentations

Education

  • Currently in higher education

Languages

  • EnglishFluent

Tools & Technologies

  • R

Benefits

Informal Culture

  • Personal expression encouraged
  • Open dialogue encouraged
  • Genuine connections encouraged
  • Valued, accepted, and respected
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