Applied Genetics Scientist - Pipeline Data Science

Syngenta; Durham (NC); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work options

Medical, dental & vision benefits

401k with company match

Paid vacation & holidays

Job summary

Syngenta in the United States is seeking an Applied Scientist specializing in Pipeline Data Science to design scalable data solutions that drive actionable insights for plant breeding.

You will build robust data pipelines, ensure data quality, and collaborate with IT, data science teams, and business stakeholders to translate analytics into practical breeding improvements.

Candidates should hold a Master’s in a quantitative field, be proficient in Python and SQL, and have cloud/ML experience.

Qualifications

• Master's in a quantitative field required.
• Strong programming and data analysis skills.
• Ability to communicate with diverse stakeholders.

Responsibilities

• Build scalable data pipelines to integrate data from multiple sources.
• Ensure data quality, reliability and accessibility for stakeholders.
• Drive data modeling and mining to support innovative analytics.
• Collaborate with IT, data science teams, and business stakeholders to align data solutions with goals.
• Identify opportunities to apply ML frameworks and cloud platforms to improve predictive pipelines.

Skills

Python

R

SQL

AWS

Data analytics

Team collaboration

Education

Master's degree in Computer Science/Statistics/Applied Mathematics

Tools

Docker

Kubernetes

Keras

PyTorch

scikit-learn

Job description

About Syngenta

Syngenta is a leading developer and producer of seeds. We bring farmers stronger, more vigorous, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Company Description

About Syngenta

Syngenta is a leading developer and producer of seeds. We bring farmers stronger, more vigorous, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Job Description

Applied Scientist - Pipeline Data Science

• Type: Permanent
• Department: Seeds Development / Vegetables
• Location: Enkhuizen - NL, RTP - US

Into action

Do you thrive at the intersection of data engineering, predictive analytics, and innovation? As our Applied Scientist - Pipeline Data Science, you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust, efficient pipelines, you’ll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation.

The challenge

Responsibilities

As an Applied Scientist, you’ll focus on building the infrastructure that makes data accessible, reliable, and actionable for diverse stakeholders. Your key responsibilities will include:

• Building Scalable Data Pipelines: Design, implement, and optimize data pipelines that integrate and consolidate data from multiple sources, ensuring seamless data flow and availability.
• Ensuring Data Quality and Reliability: Contribute to data mining, curation, analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
• Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches.
• Collaborating Across Teams: Work closely with IT, applied data science teams, and business stakeholders to align data solutions with organizational goals, addressing unique data needs efficiently.
• Identify opportunities to incorporate advanced analytics, including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
• Influence adoption of genomic prediction methods, contribute towards their integration in the breeding process and the transformation of respective breeding schemes

This role combines creativity and problem-solving with a focus on real-world applications. You’ll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations.

Qualifications

Your profile

PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This comprises, but is not limited to, OPT, CPT, and H-1B visa holders.

We seek a detail-oriented Applied Scientist with a Master's in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields. You combine strong technical skills, analytical insight, and a collaborative mindset.

• Programming: Skilled in Python, R, SQL; experienced with relational and NoSQL databases.
• Cloud: Familiar with AWS services and infrastructure.
• Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
• Collaboration: Effective team player, able to communicate technical concepts to diverse stakeholders.
• Bonus: Experience with Docker/Kubernetes, machine learning frameworks (Keras, PyTorch, scikit-learn), and interest in plant breeding or agricultural innovation.

Additional Information

What We Offer:

• A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.