Syngenta Hiring Functional Genomics Intern: Work with AI & Deep Learning (Durham, NC)

Syngenta Seeds, a global leader in agricultural innovation, is accepting applications for its Functional Genomics Internship for Summer 2026. The position is based onsite in Durham, North Carolina, a major hub for biotechnology and research.

This internship is designed for advanced students (MS or PhD) who want to apply Artificial Intelligence and Deep Learning to biological problems. If you are skilled in bioinformatics and want to help improve global crop yields through next-gen omics data, this is a cutting-edge opportunity.

Internship Overview & Key Details

Role Responsibilities: What Will You Do?

As an intern, you will join a diverse team of computational biologists. Your work will focus on developing new innovations for agricultural biotechnology. Core responsibilities include:

• AI & Prediction: You will use cutting-edge AI tools to infer gene expression and leverage Deep Learning models to optimize crops.
• Data Analysis: You will analyze next-generation omics datasets to solve complex biological problems.
• Method Evaluation: You will evaluate and compare high-throughput analytical methods for genomics data analysis.
• Visualization: You will create clear visualizations and summaries of your analytical results to present to the team.

Eligibility and Mandatory Requirements

Syngenta is looking for technically proficient candidates with a strong academic background. To qualify, you must meet the following criteria:

Mandatory Qualifications

• Education: You must be currently pursuing an MS or PhD in Bioinformatics, Molecular Biology, Genetics, Computer Science, or a related field.
• Coding Skills: Proficiency in analytical coding languages such as Python or R is required.
• Technical Environment: Experience with Linux/Unix command line environments and shell scripting is essential.
• Version Control: You must have experience using Git.
• Domain Knowledge: Solid knowledge of molecular biology and genetics is expected.

Preferred Qualifications

• Experience with high-throughput omics data analysis (e.g., RNAseq).
• Familiarity with High-Performance Computing (SLURM) or Cloud Computing (AWS).
• Enthusiasm for learning new computational methods.

Why Apply?

This internship offers a rare chance to work at the intersection of agriculture and artificial intelligence. You will gain hands-on experience with large datasets and reproducible computational workflows, all while contributing to a mission of global food security.

How to Apply

Applications for the Summer 2026 program are open. Interested candidates should apply via the Syngenta careers page. Be sure to highlight your experience with deep learning models and genomics data in your application.