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Internship in Biostatistics for PhD Students(m/w/x)
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
- English – Fluent
Tools & Technologies
- R
Benefits
Informal Culture
- Personal expression encouraged
- Open dialogue encouraged
- Genuine connections encouraged
- Valued, accepted, and respected
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- F. Hoffmann-La Roche AGFull-timeInternshipOn-siteBasel
- 1201 F. Hoffmann-La Roche AG
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Internship in Biostatistics for PhD Students(m/w/x)
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
- English – Fluent
Tools & Technologies
- R
Benefits
Informal Culture
- Personal expression encouraged
- Open dialogue encouraged
- Genuine connections encouraged
- Valued, accepted, and respected
About the Company
F. Hoffmann-La Roche AG
Industry
Pharmaceuticals
Description
Das Unternehmen ist ein führender Anbieter von pharmazeutischen Wirkstoffen und setzt sich für die Gesundheitsversorgung weltweit ein.
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- F. Hoffmann-La Roche AG
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