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Internship - Statistical Methodology, Applied Statistics, and Programming in Clinical Development(m/w/x)
Developing and adapting statistical methods for clinical trials, simulating data for evaluation. Minimum 4 semesters of quantitative studies and R/SAS experience required. Fair expense allowance, 2.5 days paid time off per month.
Requirements
- Minimum 4 semesters of studies in (Bio-)Statistics, Mathematics, Data Science, or related quantitative fields
- Good knowledge of statistical methodology or relevant specialization fields
- Basic understanding of clinical study design, medical terminology, and clinical development context
- Initial hands-on experience with R or SAS
- Willingness to apply programming tools to methodological research, data analysis, workflow development, or clinical applications
- Strong analytical and solution-oriented skills
- Enthusiasm and motivation for applied questions in clinical development
- Fluency in written and spoken English
Tasks
- Conduct research and literature reviews
- Gain overview of statistical methods and clinical study design
- Develop and adapt statistical methods for clinical trials
- Simulate data to evaluate statistical methods
- Apply data science techniques to clinical trial data
- Interpret results and generate insights
- Ideate and implement data transformation workflows
- Support method uptake and automation
- Collaborate with cross-functional teams
- Analyze and communicate clinical findings
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- R
- SAS
Benefits
More Vacation Days
- 2.5 days paid time off per month
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Internship - Statistical Methodology, Applied Statistics, and Programming in Clinical Development(m/w/x)
Developing and adapting statistical methods for clinical trials, simulating data for evaluation. Minimum 4 semesters of quantitative studies and R/SAS experience required. Fair expense allowance, 2.5 days paid time off per month.
Requirements
- Minimum 4 semesters of studies in (Bio-)Statistics, Mathematics, Data Science, or related quantitative fields
- Good knowledge of statistical methodology or relevant specialization fields
- Basic understanding of clinical study design, medical terminology, and clinical development context
- Initial hands-on experience with R or SAS
- Willingness to apply programming tools to methodological research, data analysis, workflow development, or clinical applications
- Strong analytical and solution-oriented skills
- Enthusiasm and motivation for applied questions in clinical development
- Fluency in written and spoken English
Tasks
- Conduct research and literature reviews
- Gain overview of statistical methods and clinical study design
- Develop and adapt statistical methods for clinical trials
- Simulate data to evaluate statistical methods
- Apply data science techniques to clinical trial data
- Interpret results and generate insights
- Ideate and implement data transformation workflows
- Support method uptake and automation
- Collaborate with cross-functional teams
- Analyze and communicate clinical findings
Education
- Currently in higher education
Languages
- English – Fluent
Tools & Technologies
- R
- SAS
Benefits
More Vacation Days
- 2.5 days paid time off per month
About the Company
Boehringer Ingelheim
Industry
Pharmaceuticals
Description
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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