Functional Genomics Intern

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. We invite you to help shape the future of agriculture and play a role in safely feeding the world while caring for our planet.

At Syngenta, every employee plays a role in safely feeding the world and caring for our planet. Our Bioinformatics group in Durham, North Carolina is seeking a Functional Genomics Intern to analyze next-gen omics datasets and use artificial intelligence prediction tools to solve biological problems. You will develop cutting-edge skills in computational approaches to genomics data analysis and contribute to innovations in agricultural biotechnology. The scope and complexity of the project will be adjusted based on the intern’s experience level and academic background.  

As part of Syngenta's Emerging Talent Program, you will gain hands-on experience, exposure to day-to-day business operations, and opportunities to apply your academic knowledge to real-world challenges while developing your professional skills.

Accountabilities:

• Gain valuable experience supporting bioinformatics scientists with high-throughput genomics data analysis.
• Learn to use cutting-edge AI tools for omics data prediction and analysis.
• Work in a multidisciplinary team of computational biologists developing new innovations for agricultural biotechnology.
• Contribute to written reports and presentations.
• Leverage deep learning models to optimize gene expression in crops.
• Document methods, workflows, and code in a reproducible manner.
• Create clear visualizations and summaries of analytical results.
• Collaborate with team members and communicate findings in group meetings.

Qualifications

Required Qualifications:

Education

• Pursuing an MS or PhD in Bioinformatics, Molecular Biology, Genetics, Computer Science, or a related field.

Technical

• Expertise with Linux/Unix command-line environments and shell scripting.
• Analytical coding languages such as Python or R.
• Knowledge of molecular biology and genetics.
• Experience using Git for version control.
• Vibe coding and use of agentic AI tools.

Analytical

• Ability to work with large datasets and implement reproducible computational workflows.
• Strong problem-solving skills and attention to detail.
• Effective written and verbal communication skills.

Desired Qualifications:

• Experience with Deep Learning and DNA LLM .
• Experience with high throughput omics data analysis (e.g., RNAseq analysis, Omics data). 
• Experience with high-performance computing job schedulers (SLURM, etc.) and cloud computing (AWS, etc.). 
• Self-motivated with ability to work independently and collaboratively. 
• Enthusiasm for learning new computational methods and tools. 
• Experience presenting technical work to diverse audiences.

Additional Information

Salary for this position ranges between $20 - $45 hourly.

What We Offer: 

• A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. 
• ⁠Competitive wages
• Ongoing career development resources
• The opportunity to work on meaningful, innovative projects that solve problems

Syngenta is committed to creating a culture that celebrates belonging and collaboration, promotes professional development, and strives for a work-life balance that supports the team members 

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. 

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