Applied Data Scientist, Genomics & Pipeline Analytics Hybrid

Syngenta Group; Durham (NC); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Full Benefit Package

Job summary

Syngenta Group is seeking an Applied Scientist to design scalable data pipelines and enable actionable insights in plant breeding. You will consolidate complex datasets, improve data accessibility, and drive data-driven decisions across teams.

The role emphasizes building robust data infrastructure, leveraging ML frameworks, and collaborating with IT and business stakeholders to accelerate innovation in agriculture.

Qualifications

• Master’s in CS, statistics, applied mathematics, or related field.
• US residency and permanent work authorization required.
• Strong programming, data engineering, and collaboration skills.
• Experience with cloud platforms and ML frameworks is a plus.

Responsibilities

• Build scalable data pipelines that integrate data from multiple sources.
• Ensure data quality, reliability, and accessibility for stakeholders.
• Model and mine data to enable innovative analytics.
• Collaborate with IT, data science teams, and business users.
• Identify opportunities to apply advanced analytics and ML frameworks.

Skills

Python

R

SQL

Analytics

Collaboration

Education

Master’s in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields

Tools

Docker

Kubernetes

AWS

Job description

Syngenta Group is seeking an Applied Scientist to design scalable data pipelines and enable actionable insights in plant breeding. You will consolidate complex datasets, improve data accessibility, and drive data-driven decisions across teams.

The role emphasizes building robust data infrastructure, leveraging ML frameworks, and collaborating with IT and business stakeholders to accelerate innovation in agriculture.