1201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
Full-timeInternshipOn-site
Basel
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121201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
Basel
Full-timeInternshipOn-site
Nejo AI Summary
Developing and validating Virtual Control Group generation methodologies using advanced statistical approaches in patient-focused pharmaceutical research. Enrollment in a relevant scientific PhD program with strong statistics focus, high statistical programming proficiency in R or Python required. Direct contribution to patient-focused research, structured learning environment.
Requirements
- Enrollment in a PhD in Mathematics, Statistics, or scientific field with strong statistics focus
- Expertise in data wrangling, quantitative methods, and statistical modeling
- High level of statistical programming proficiency
- Practical experience using programming software (R or Python)
- Experience in cross-disciplinary problem solving
- Understanding of scientific experimentation concepts
- Curious mindset and can-do attitude
- Ability to deliver high quality results with urgency
- Excellent interpersonal and communication skills
- Openness to seek, receive, and give feedback
- Ability to synthesize complex findings into clear guidelines
Tasks
- Systematically review methodologies for Virtual Control Group generation
- Conduct exploratory analysis of a large historical data repository
- Define necessary matching criteria for VCG creation
- Explore and apply advanced statistical approaches for VCG generation
- Validate VCG generation methods using R or Python
- Utilize a high-performance computational cluster for analysis
- Collaborate with interdisciplinary experts across Roche
- Communicate progress and results during internal meetings
- Synthesize scientific findings for the department and external community
- Develop preliminary guidelines for VCG generation
- Contribute to drafting a manuscript for publication
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 1201 F. Hoffmann-La Roche AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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121201 F. Hoffmann-La Roche AG
PhD Internship for Mathematics, Statistics PhD students - RiSE(m/w/x)
Basel
Full-timeInternshipOn-site
Nejo AI Summary
Developing and validating Virtual Control Group generation methodologies using advanced statistical approaches in patient-focused pharmaceutical research. Enrollment in a relevant scientific PhD program with strong statistics focus, high statistical programming proficiency in R or Python required. Direct contribution to patient-focused research, structured learning environment.
Requirements
- Enrollment in a PhD in Mathematics, Statistics, or scientific field with strong statistics focus
- Expertise in data wrangling, quantitative methods, and statistical modeling
- High level of statistical programming proficiency
- Practical experience using programming software (R or Python)
- Experience in cross-disciplinary problem solving
- Understanding of scientific experimentation concepts
- Curious mindset and can-do attitude
- Ability to deliver high quality results with urgency
- Excellent interpersonal and communication skills
- Openness to seek, receive, and give feedback
- Ability to synthesize complex findings into clear guidelines
Tasks
- Systematically review methodologies for Virtual Control Group generation
- Conduct exploratory analysis of a large historical data repository
- Define necessary matching criteria for VCG creation
- Explore and apply advanced statistical approaches for VCG generation
- Validate VCG generation methods using R or Python
- Utilize a high-performance computational cluster for analysis
- Collaborate with interdisciplinary experts across Roche
- Communicate progress and results during internal meetings
- Synthesize scientific findings for the department and external community
- Develop preliminary guidelines for VCG generation
- Contribute to drafting a manuscript for publication
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of 1201 F. Hoffmann-La Roche AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
1201 F. Hoffmann-La Roche AG
Industry
Healthcare
Description
The company focuses on developing innovative products that make a meaningful difference for patients worldwide.
Not a perfect match?
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