Student Data Scientist, Global Livestock Research

Novonesis

Kongens Lyngby

On-site

DKK 165,000 - 248,000

Full time

4 days ago
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Job summary

Novonesis is seeking a Student Assistant to support biostatisticians and animal scientists in managing data from in-vivo research. You will help ensure data accuracy, accessibility, and reliability for high-quality scientific decision-making within a global research setting.

The role offers hands-on experience with biological data, data systems, and statistical tools, contributing to life cycle management and scientific innovation in animal agriculture.

Qualifications

  • Pursuing a Bachelor’s or Master’s degree in a quantitative field such as Animal Science, Biology, Biostatistics, or Statistics.
  • Practical experience using R for data handling, analysis, or programming.
  • Strong interest in biological data, data quality, and data management.
  • High attention to detail and ability to work independently while contributing in a team.

Responsibilities

  • Prepare and manage data from in-vivo experiments, including formatting, validating, and connecting datasets using Novonesis data templates.
  • Ensure in-vivo trial data and supporting documentation are complete and stored properly.
  • Maintain and clean key in-vivo trial databases to improve data quality and usability.
  • Support data summaries, reporting, and process improvement related to biostatistics and animal science.
  • Perform basic data quality checks and collaborate with colleagues to resolve issues.

Skills

R
Data handling
Biostatistics
Attention to detail

Education

Bachelor/Master degree

Tools

R

Job description

Novonesis is seeking a Student Assistant to support biostatisticians and animal scientists in managing data from in-vivo research. You will help ensure data accuracy, accessibility, and reliability for high-quality scientific decision-making within a global research setting.

The role offers hands-on experience with biological data, data systems, and statistical tools, contributing to life cycle management and scientific innovation in animal agriculture.

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