Applied Genetics Scientist - Pipeline Data Science

Syngenta is a leading developer and producer of seeds, bringing farmers stronger, more vigorous, resistant plants, including innovative hybrid varieties and biotech crops. With 28,000 employees in over 90 countries, we work together to solve the challenge of growing more food with fewer resources.

About the role

As our Applied Scientist - Pipeline Data Science, you will design scalable data solutions that drive actionable insights by consolidating complex datasets into robust, efficient pipelines. This role combines creativity and problem-solving to shape data management and contribute to meaningful outcomes in plant breeding and sustainable agriculture.

Responsibilities

• Build scalable data pipelines: Design, implement, and optimize data pipelines that integrate and consolidate data from multiple sources, ensuring seamless data flow and availability.
• Ensure data quality and reliability: Contribute to data mining, curation, analytics, and visualization of datasets to gain deep understanding of crops and enable successful application of technology.
• Drive data modeling and mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches.
• Collaborate across teams: Work closely with IT, applied data science teams, and business stakeholders to align data solutions with organizational goals and address 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 toward their integration in the breeding process, and transform respective breeding schemes.

Requirements

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

Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, Quantitative Genetics, or related fields.
• Strong technical skills, analytical insight, and a collaborative mindset.
• Programming: Skilled in Python, R, and 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.

Skills

• Experience with Docker/Kubernetes (bonus).
• Experience with machine learning frameworks (Keras, PyTorch, scikit-learn) (bonus).
• Interest in plant breeding or agricultural innovation (bonus).

Benefits

• Flexible work options to support work and personal needs.
• Full benefit package (Medical, Dental & Vision) starting 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.