Statistical R Programmer (Medical Industry)

Nagarro
  • Post Date: October 6, 2024
    • 13420
  • Applications 0
  • Views 3
Job Overview

Company Description

 We’re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

Skilled Statistical R Programmer looking to contribute to meaningful work in the medical industry? Join our data science team!

Responsibilities:

Develop, test, and maintain R scripts for statistical analysis, data manipulation, and reporting. Implement statistical models to support medical research projects. Collaborate with customers to understand and meet their data analysis needs. Manage and transform large datasets from clinical trials and other sources. Perform exploratory data analysis and create visualizations. Test and validate R programs for accuracy and compliance. Document processes and results, and prepare statistical reports for stakeholders.

Qualifications

Proven experience as a Statistical Programmer or Data Scientist with strong proficiency in R. Medical or healthcare industry, particularly with clinical trial data or other healthcare datasets. Advanced knowledge of R programming, including data manipulation, statistical modeling, and visualization. Strong understanding of statistical methods and their application in medical research. Familiarity with regulatory requirements and guidelines for clinical data analysis. Excellent problem-solving skills and attention to detail. Effective communication skills, with the ability to explain complex statistical concepts to non-technical audiences.

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