Applied Genetics Scientist - Pipeline Data Science
Enkhuizen, North Holland, Netherlands · Hybrid
Mid level$4.5B raised
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Full-time
postgraduate degree
Annual bonus, Profit-sharing, Flexible working options, Learning Edge online learning platform, Employee Assistance Program, 25 vacation days
Posted 23h ago
~40 hrs/week
Responsibilities
The Applied Scientist will design and optimize scalable data pipelines to integrate complex datasets for plant breeding applications. They will also collaborate with cross-functional teams to implement advanced data modeling and machine learning solutions to drive actionable insights.
Requirements
Candidates must hold a Master’s degree in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or a related field. Proficiency in Python, R, SQL, and experience with cloud infrastructure like AWS are required.
Full job description
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
Join us in our journey as a global agriculture technology leader to feed the world while respecting the earth.
Industry
Farming
Company size
10,001+ employees
Headquarters
Basel, Basel-Town
LinkedIn followers
131,672
Total funding
$4.5B
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With over 50,000 employees in more than 90 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transforming agriculture into a more sustainable, productive system to benefit society and the planet.
We invite you to join us in this collective mission to feed the world while respecting the earth.