Applied Genetics Scientist - Pipeline Data Science

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Syngenta is seeking an Applied Scientist - Pipeline Data Science to design scalable data pipelines and translate complex plant breeding data into actionable insights. This permanent, onsite role in Enkhuizen NL (with a US RTP option) centers on building robust data infrastructure, ensuring quality, advancing modeling and mining, and collaborating across IT, data science, and breeding teams to align solutions with goals, including genomic prediction methods. Ideal candidates hold a Master’s in CS, Stats, or related fields, with strong Python, R and SQL skills, AWS experience, and familiarity with Docker/Kubernetes and ML tools, plus an interest in agricultural innovation. Tips: tailor your CV to end-to-end pipelines, highlight collaboration and measurable impact. Apply online; contact Lars Conijn.

Company Description

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

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

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 is in it for you?

• The opportunity to receive an annual bonus and profit-sharing – we celebrate success together!  
• Flexible working options where possible to support a healthy work-life balance, including the ability to work from up to 2 days per week from home.
• Grow and thrive – unlimited access to Learning Edge, our online learning platform, where you can continuously develop yourself through various training programs and courses.  
• Access to our Employee Assistance Program (EAP), offering free advice, coaching, and support in areas such as career development, emotional support, and legal or financial advice.  
• 25 vacation days + 1 vitality day to recharge. From the age of 35, you will receive an extra vacation day every 5 years.  
• An attractive pension plan – because your future matters to us.  
• If you live more than 5 km away, you will receive a travel allowance of €0.23 per km, up to a maximum of 50 km one way.  

Take your chance!

At Syngenta, we believe in creating an inclusive and diverse work environment where all employees are valued and given the opportunity to grow. We offer a competitive salary and a comprehensive package of secondary employment benefits.

Apply online today at www.syngenta.com. For questions, you can contact our recruiter Lars Conijn at [email protected]

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