Functional Genomics Intern

Longwood University; Durham (NC); Presencial; USD 28.000 - 62.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive wages

Meaningful, innovative projects

Professional development and work-life

Resumo da vaga

Syngenta seeks a motivated bioinformatics intern in Durham, NC, to assist with high-throughput genomics data analysis and AI-driven predictions. You will work in a multidisciplinary team to develop computational approaches for agricultural biotech and contribute to reports and presentations.

The Emerging Talent Program provides hands-on experience, exposure to operations, and opportunities to apply academic knowledge to real-world challenges while developing professional skills.

Qualificações

• Pursuing an MS or PhD in Bioinformatics, Molecular Biology, Genetics, Computer Science, or a related field.
• Linux/Unix command-line with shell scripting.
• Analytical coding in Python or R.
• Knowledge of molecular biology and genetics.
• Experience with Git for version control.
• Vibe coding and use of agentic AI tools.

Responsabilidades

• Gain experience supporting bioinformatics scientists with high-throughput genomics data analysis.
• Learn to use AI tools for omics data prediction and analysis.
• Collaborate in a multidisciplinary team of computational biologists.
• Contribute to written reports and presentations.
• Leverage deep learning models to optimize gene expression in crops.
• Document methods, workflows, and code reproducibly.
• Create visualizations and summaries of analytical results.
• Communicate findings in group meetings.

Conhecimentos

Linux

Python

R

Git

Agentic AI tools

Data analysis

Formação

MS or PhD in Bioinformatics/ related field

Ferramentas

SLURM

AWS

Descrição da vaga

At Syngenta Seeds Field Crops,we'reshaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel.We’rea global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease,insect,weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

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 employeeplaysa role in safely feeding the world andcaring forour planet.OurBioinformatics groupin Durham, North Carolinais seeking aFunctional GenomicsInterntoanalyzenext-genomics datasetsanduseartificialintelligenceprediction toolstosolve biological problems.You willdevelopcutting-edgeskills incomputational approaches togenomicsdataanalysisandcontribute toinnovationsin agricultural biotechnology.The scope and complexity oftheproject will be adjusted based on theintern’sexperience 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:

• ExperiencewithDeepLearning andDNALLM .
• Experience with high throughput omics data analysis (e.g.,RNAseqanalysis, Omics data).
• Experience with high-performance computing job schedulers (SLURM,etc.)andcloud 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
• The opportunity to work on meaningful, innovative projects that solve problems

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

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