Applied Genetics Scientist Pipeline Data Science

Syngenta Seeds; Durham (NC); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Full Benefit Package

401k plan

Paid vacation and holidays

Job summary

Syngenta Seeds is seeking an Applied Scientist to design scalable data pipelines for pipeline data science in plant breeding. The role blends data engineering with analytics to deliver reliable, accessible data for stakeholders.

You will model and mine data, collaborate with IT and applied data science teams, and explore ML frameworks and cloud platforms to advance predictive pipelines within a cutting-edge environment.

Qualifications

• Master’s in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields.
• Programming in Python, R, SQL with relational and NoSQL databases.
• Experience with Docker/Kubernetes and ML frameworks (Keras, PyTorch, scikit-learn).

Responsibilities

• Build scalable data pipelines that integrate multiple data sources.
• Ensure data quality, reliability, and accessibility for stakeholders.
• Drive data modeling and mining to support advanced analytics.
• Collaborate with IT, data science teams, and business stakeholders.
• Identify opportunities to apply advanced analytics and cloud platforms.
• Support adoption of genomic prediction methods in breeding processes.

Skills

Programming

Cloud

Analytics

Collaboration

Education

Master’s degree

Tools

Docker

Kubernetes

scikit-learn

Keras

PyTorch

Job description

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

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:

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.