Breeding Data Scientist Intern – Gene Editing

Vylor Inc.; Des Moines (IA); On-site; USD 52,000 - 73,000; Full time

Job summary

Vylor, Inc. is seeking a Data Scientist Intern to advance plant breeding through quantitative genetics. You will partner with breeding scientists to design strategies, analyze genomic and phenotypic data, and translate results into actionable recommendations for decision-making.

The role blends field-facing biology with analytics, offering exposure to modern breeding methods, R/Python workflows, and reproducible analyses in a collaborative, fast-paced environment. Johnston, IA location preferred.

Qualifications

• MS or PhD student in Plant Breeding, Quantitative Genetics, Agronomy, Data Science, or related fields.
• Excellent problem-solving skills and ability to explore analytic solutions by asking the right questions, analyzing data, and producing actionable results.
• Experience working with phenotypic and genomic datasets in R or Python for data analysis and visualization.
• Familiarity with statistical modeling, machine learning, or simulation techniques as applied to biological systems.
• Interest in translating breeding and genomics needs into practical, usable software or analytical tools.

Responsibilities

• Design, build, and evaluate breeding strategies leveraging traditional and modern quantitative methods.
• Navigate genomic, phenotypic, and environmental data within breeding pipelines to improve selection accuracy.
• Communicate findings and recommendations clearly to scientists and cross-functional partners.

Skills

Data analysis

R

Python

Statistics

Machine learning

Education

MS or PhD student

Tools

Git

Shiny

Jupyter

Job description

Vylor, Inc. is seeking a Data Scientist Intern to advance plant breeding through quantitative genetics. You will partner with breeding scientists to design strategies, analyze genomic and phenotypic data, and translate results into actionable recommendations for decision-making.

The role blends field-facing biology with analytics, offering exposure to modern breeding methods, R/Python workflows, and reproducible analyses in a collaborative, fast-paced environment. Johnston, IA location preferred.