Applied Genetics Scientist - Pipeline Data Science

Overview

Permanent Applied Scientist – Pipeline Data Science role focused on building scalable data pipeline infrastructure and enabling predictive analytics for plant breeding.

What you’ll do

• Design, implement, and optimize data pipelines that consolidate data from multiple sources.
• Support data mining, curation, analytics, and visualization to understand crop datasets.
• Create and implement processes for advanced data modeling and mining.
• Collaborate with IT, applied data science teams, and business stakeholders to align data solutions.
• Identify opportunities to incorporate advanced analytics, including machine learning frameworks and cloud platforms.
• Contribute to the integration and adoption of genomic prediction methods in breeding.

What you’ll need

• Master’s degree in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or a related field.
• Programming skills in Python, R, and SQL.
• Experience with relational and NoSQL databases.
• Familiarity with AWS services and infrastructure.
• Ability to uncover patterns in large datasets and translate findings into recommendations.
• Ability to communicate technical concepts to diverse stakeholders.

Nice to have

• Experience with Docker/Kubernetes.
• Experience with machine learning frameworks (Keras, PyTorch, scikit-learn).
• Interest in plant breeding or agricultural innovation.

Details

• Location: Enkhuizen – NL and RTP – US.
• Flexible working options include working from home up to 2 days per week.