Internship - Statistical Methodology, Applied Statistics, and Programming in Clinical Development

Boehringer Ingelheim
Boehringer Ingelheim logo
Location
Biberach
Job Type
Full-time
Posted
October 7, 2026
Views
10

Job Description

The Position

Biostatistics and Data Sciences (BDS) is a global organization with more than 350 employees within the Human Pharma Business Unit. Working in close collaboration with other functions at Boehringer Ingelheim and external vendors we combine methodological and technical data science skills with business and scientific expertise to drive smart, timely and confident decision making across drug development, approval, and access. Join BDS and become part of our dynamic, forward‑thinking, and solution‑oriented team. In this internship, you will contribute to holistic evidence generation in late‑stage clinical development by engaging in innovations in statistical methodology, applying these methods to concrete clinical use cases, or shaping end‑to‑end analytical solutions that enable fast, impactful, and informed decision‑making.

This internship offers the opportunity to expand your understanding of state-of-the-art clinical development, strengthen your effectiveness in achieving shared goals, deepen your technical and scientific expertise and broaden your professional network – all while contributing to innovation and project work within one of the BDS areas focused on framework building or evidence generation. Personal and shared growth is our core mindset: we stay curious, challenge ourselves, and keep learning – because that’s how people and ideas move forward.

Please note that we can only consider your application if it includes at least a CV, a cover letter, and a transcript of records from your current studies. Providing these documents helps us review your application fairly and effectively.

You will gain an insight into the following topics and areas of activities:

Depending on the focus of your internship, you will work with and implement state‑of‑the‑art and innovative approaches related to statistical methodology and their application in modern clinical development. This includes areas such as study design, data transformation, data analysis, visualization, and statistical programming.

Your internship tasks may include

  • Conduct research and literature reviews to gain a solid overview of relevant statistical methods and clinical study design concepts, establishing the foundation for subsequent methodological and analytical work.
  • Develop and/or adapt innovative statistical methods for use in clinical trials; this may include theoretical development, implementation, and testing, under the guidance of experienced statisticians.
  • Simulate data to evaluate the performance and properties of new or existing statistical methods.
  • Apply established and innovative data science techniques to real clinical trial data, interpreting results and generating insights for decision‑making.
  • Ideation and implementation of data transformation and analysis workflows, to support method uptake, automation, and reporting in a regulated environment.
  • Collaborate with cross‑functional teams to analyze, interpret, and communicate findings from clinical development programs.

Your Profile

  • Minimum 4 semester of studies in (Bio‑) Statistics, Mathematics, Data Science, or related quantitative fields, with a solid foundational understanding relevant to your chosen internship focus (methodology, applications, or statistical implementation).
  • Good knowledge of statistical methodology or other fields relevant to your specialization, combined with at least a basic understanding of clinical study design, medical terminology, and the general context of clinical development.
  • Initial hands‑on experience with relevant programming tools, such as R or SAS, and a willingness to apply them to methodological research, data analysis, workflow development, or clinical applications.
  • Strong analytical and solution-oriented skills, paired with enthusiasm and motivation to work on applied questions in clinical development.
  • Fluency in written and spoken English

What we can offer you

  • As a student intern, you can expect a fair expense allowance (payment of the currently valid minimum wage)
  • You will be given 2.5 days of paid time off for every full month of the internship

The Position

Biostatistics and Data Sciences (BDS) is a global organization with more than 350 employees within the Human Pharma Business Unit. Working in close collaboration with other functions at Boehringer Ingelheim and external vendors we combine methodological and technical data science skills with business and scientific expertise to drive smart, timely and confident decision making across drug development, approval, and access. Join BDS and become part of our dynamic, forward‑thinking, and solution‑oriented team. In this internship, you will contribute to holistic evidence generation in late‑stage clinical development by engaging in innovations in statistical methodology, applying these methods to concrete clinical use cases, or shaping end‑to‑end analytical solutions that enable fast, impactful, and informed decision‑making.

This internship offers the opportunity to expand your understanding of state-of-the-art clinical development, strengthen your effectiveness in achieving shared goals, deepen your technical and scientific expertise and broaden your professional network – all while contributing to innovation and project work within one of the BDS areas focused on framework building or evidence generation. Personal and shared growth is our core mindset: we stay curious, challenge ourselves, and keep learning – because that’s how people and ideas move forward.

Please note that we can only consider your application if it includes at least a CV, a cover letter, and a transcript of records from your current studies. Providing these documents helps us review your application fairly and effectively.

You will gain an insight into the following topics and areas of activities:

Depending on the focus of your internship, you will work with and implement state‑of‑the‑art and innovative approaches related to statistical methodology and their application in modern clinical development. This includes areas such as study design, data transformation, data analysis, visualization, and statistical programming.

Your internship tasks may include

  • Conduct research and literature reviews to gain a solid overview of relevant statistical methods and clinical study design concepts, establishing the foundation for subsequent methodological and analytical work.
  • Develop and/or adapt innovative statistical methods for use in clinical trials; this may include theoretical development, implementation, and testing, under the guidance of experienced statisticians.
  • Simulate data to evaluate the performance and properties of new or existing statistical methods.
  • Apply established and innovative data science techniques to real clinical trial data, interpreting results and generating insights for decision‑making.
  • Ideation and implementation of data transformation and analysis workflows, to support method uptake, automation, and reporting in a regulated environment.
  • Collaborate with cross‑functional teams to analyze, interpret, and communicate findings from clinical development programs.

Your Profile

  • Minimum 4 semester of studies in (Bio‑) Statistics, Mathematics, Data Science, or related quantitative fields, with a solid foundational understanding relevant to your chosen internship focus (methodology, applications, or statistical implementation).
  • Good knowledge of statistical methodology or other fields relevant to your specialization, combined with at least a basic understanding of clinical study design, medical terminology, and the general context of clinical development.
  • Initial hands‑on experience with relevant programming tools, such as R or SAS, and a willingness to apply them to methodological research, data analysis, workflow development, or clinical applications.
  • Strong analytical and solution-oriented skills, paired with enthusiasm and motivation to work on applied questions in clinical development.
  • Fluency in written and spoken English

What we can offer you

  • As a student intern, you can expect a fair expense allowance (payment of the currently valid minimum wage)
  • You will be given 2.5 days of paid time off for every full month of the internship
  • A full-time internship is 37.5 hours a week (a smaller number of hours can be arranged

The duration of the internship is 6 months. The start of the internship can be made several times a year. The earliest start date is currently November 15, 2026. Please enter the desired period in your application. This position can be filled in Ingelheim or Biberach.

Ready to contact us?

Please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The internship is located in Biberach, Germany, with the posting noting it can be filled in either Ingelheim or Biberach. The text does not specify a remote or hybrid work-mode policy.
What are the required qualifications and experience level for this internship?
You need at least 4 semesters of study in (Bio-) Statistics, Mathematics, Data Science, or related quantitative fields. You must have good knowledge of statistical methodology, a basic understanding of clinical study design, initial programming experience in R or SAS, strong analytical skills, and fluency in written and spoken English.
What are the key responsibilities of this role?
Your tasks may include conducting literature reviews, developing or adapting innovative statistical methods, simulating data to evaluate these methods, applying data science techniques to real clinical trial data, implementing data transformation and analysis workflows, and collaborating with cross-functional teams to communicate findings.
What benefits and compensation are offered for this position?
Boehringer Ingelheim offers a fair expense allowance paying the currently valid minimum wage. You will also receive 2.5 days of paid time off for every full month of the internship.
What is the application process and what documents do I need to submit?
To apply, you must submit at least a CV, a cover letter, and a transcript of records from your current studies. You should also specify your desired internship period in your application.

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
boehringer ingelheim data science biostatistics clinical
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