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Internship Clinical Data Science

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Biberach

AI generated summary

  • You should be a 4th-semester student in Statistics or related fields, with statistical knowledge, experience in R/SAS, analytical skills, and fluency in English. Team player with motivation is essential.
  • You will conduct research, analyze clinical data, develop statistical methods, automate processes, and collaborate with teams to enhance data quality and insights in clinical trials.

Requirements

  • Student in at least the 4th semester of Statistics, Mathematics, Data Science or related fields
  • Good knowledge of statistical methodology and basic knowledge of design of clinical trials, medical terminology, and processing clinical trial information
  • First hands-on experience in relevant software languages, like R and SAS
  • Excellent analytical skills and solution-oriented working style as well as high willingness to learn
  • Reliability, intrinsic motivation, commitment, and a strong team player
  • Fluency in written and spoken English

Responsibilities

  • Conduct research and literature reviews to stay updated on the latest techniques and methodologies in clinical design, statistical programming, and data analysis
  • You will assist in the development and implementation of innovative statistical approaches to enhance data analysis in clinical development
  • You will apply statistical techniques to analyze and interpret clinical trial data, providing insights and recommendations for decision-making
  • You develop and implement data transformation methods to optimize data quality and usability
  • You develop and maintain programming codes and scripts to automate data processing and analysis tasks
  • You collaborate with cross-functional teams to analyze and interpret clinical trial data
  • During your internship, you will have the chance to explore innovative techniques for clinical designs, data transformation, statistical programming, and data analysis

FAQs

What is the duration of the internship?

The duration of the internship is 4 to 6 months.

What are the working hours for the internship?

A full-time internship is 37.5 hours a week, but a smaller number of hours can be arranged.

Where is the internship located?

The position can be filled in Ingelheim or Biberach.

What kind of student is eligible for this internship?

We are looking for students in at least the 4th semester of Statistics, Mathematics, Data Science, or related fields.

What skills are required for this internship?

Candidates should have good knowledge of statistical methodology, basic knowledge of clinical trial design, and hands-on experience with software languages like R and SAS.

Is there a payment for this internship?

Yes, as a student intern, you can expect a fair expense allowance, which includes payment of the currently valid minimum wage.

What kind of tasks will I be involved in during the internship?

Interns will conduct research, assist in statistical analysis development, analyze clinical trial data, and collaborate with cross-functional teams.

What do I need to include in my application?

Your application must include a CV, a cover letter, and a transcript of records from your current studies.

What benefits do interns receive in this internship?

Interns receive 2.5 days of paid time off for every full month of the internship.

What is the required language proficiency for this internship?

Fluency in written and spoken English is required.

Pharmaceutical Manufacturing

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Boehringer Ingelheim is working on breakthrough therapies that transform lives, today and for generations to come. As a leading research-driven biopharmaceutical company, the company creates value through innovation in areas of high unmet medical need. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective. More than 52,000 employees serve over 130 markets in the three business areas, Human Pharma, Animal Health, and Biopharmaceutical Contract Manufacturing.

Benefits

  • Work-life balance

  • Rewards and recognition

  • Physical and Mental Health

  • Financial wellbeing