Applied Data Scientist – Genomics & Plant Breeding

NCBiotech; Durham (NC); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Full Benefit Package including Medical

401k with company match and retirement

Paid Vacation & Holidays

Job summary

Syngenta is seeking an Applied Scientist - Pipeline Data Science to design scalable data solutions for plant breeding. You will consolidate diverse datasets into reliable pipelines, enabling better decisions and unlocking new insights across Seeds Development and Vegetables.

The role emphasizes data modeling, cloud platforms, and collaboration with IT and business teams to drive measurable impact in sustainable agriculture.

Qualifications

• Master's degree in CS, Statistics, Applied Mathematics, Quantitative Genetics, or related fields.
• Strong technical skills, analytical insight, and collaborative mindset.
• Proficiency in Python, R, SQL and relational/NoSQL databases.
• Experience with AWS cloud services and infrastructure.

Responsibilities

• Build scalable data pipelines that integrate data from multiple sources.
• Ensure data quality, reliability, and availability for diverse stakeholders.
• Develop data modeling and mining processes for advanced analytics.
• Collaborate with IT, data science teams and business stakeholders to align solutions.

Skills

Python

R

SQL

Analytics

Collaboration

ML frameworks

Education

Master's degree in CS/Statistics/Applied Mathematics

Tools

AWS

Docker

Kubernetes

Job description

Syngenta is seeking an Applied Scientist - Pipeline Data Science to design scalable data solutions for plant breeding. You will consolidate diverse datasets into reliable pipelines, enabling better decisions and unlocking new insights across Seeds Development and Vegetables.

The role emphasizes data modeling, cloud platforms, and collaboration with IT and business teams to drive measurable impact in sustainable agriculture.