Pharma Statistician Intern — Hybrid, R/Python/SAS

Bayer; United States; Hybrid; USD 29,000 - 81,000; Full time

Job summary

Bayer's Pharmaceuticals Statistics US internship offers hands-on exposure to clinical trial analysis and collaboration with senior statisticians. You will contribute to the analysis of trial data and support trial and project Statisticians, culminating in a presentation to the statistics group and a non-statistical audience.

The internship targets Master’s or PhD candidates in Statistics/Biostatistics, emphasizes strong analysis, programming, and communication skills, and may include hybrid or

Qualifications

• Pursuing a Master’s or PhD in Statistics, Biostatistics, or related field
• Must be motivated and well-organized
• Strong analytical and quantitative abilities with excellent written and verbal communication skills
• Strong proficiency in Microsoft Word, Excel, and PowerPoint
• Good working knowledge of SAS, R, and/or Python
• Ability to participate within a multi-disciplinary team as well as act autonomously

Responsibilities

• Work on a research project with senior-level Statisticians in a dynamic environment
• Become involved in the analysis of clinical trial data and programming
• Provide support to trial Statisticians and Project Statisticians
• Present your research project to the Statistics department and a non-statistical audience at the end of the internship

Skills

Statistical analysis

SAS

R

Python

Microsoft Excel

Communication skills

Team collaboration

Education

Master’s or PhD in Statistics/Biostatistics

Tools

SAS

R

Python

Job description

Bayer's Pharmaceuticals Statistics US internship offers hands-on exposure to clinical trial analysis and collaboration with senior statisticians. You will contribute to the analysis of trial data and support trial and project Statisticians, culminating in a presentation to the statistics group and a non-statistical audience.

The internship targets Master’s or PhD candidates in Statistics/Biostatistics, emphasizes strong analysis, programming, and communication skills, and may include hybrid or