Applied Genetics Scientist - Pipeline Data Science
Indexed description
Job Description
Applied Scientist - Pipeline Data Science
- Type: Permanent
- Department: Seeds Development / Vegetables
- Location: Enkhuizen – NL, RTP - US
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
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.
- 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.
Apply online today at www.syngenta.com. For questions, you can contact our recruiter Lars Conijn at [email protected]
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