Bioinformatics Internship at Syngenta | Functional Genomics Intern Role
The Bioinformatics Internship at Syngenta offers an exceptional opportunity for aspiring scientists to gain hands-on experience in genomics, computational biology, and AI-driven data analysis. This role is ideal for students seeking a Molecular Biology internship, Genetics internship, or any advanced internship for life science students looking to develop high-impact skills. As one of the most competitive Internships in USA, this position connects students with real-world research that fuels innovation in agricultural biotechnology.
About the Company
Syngenta Seeds is a global leader in agricultural biotechnology, providing innovative solutions that support sustainable farming and global food security. With cutting-edge research programs, diverse scientific teams, and advanced genomics platforms, Syngenta offers unmatched opportunities for students pursuing a Bioinformatics Internship, Molecular Biology internship, or Genetics internship. The company is consistently ranked as a top scientific employer and provides strong mentorship for internship for life science students.
Internship Details:
- Intern Title: Functional Genomics Intern
- Location: Durham, NC
Internshipย Description
Syngentaโs Bioinformatics group in Durham, North Carolina is seeking a Functional Genomics Intern to analyze next-generation omics datasets and apply AI-based prediction tools to solve biological problems. Interns will develop cutting-edge skills in computational genomics and contribute to innovations in agricultural biotechnology. Project scope and complexity will be tailored to the internโs experience and academic background.
Role Purpose
- Gain hands-on experience supporting bioinformatics scientists with high-throughput genomics data analysis
- Learn to use state-of-the-art AI tools for gene expression inference
- Work in a diverse team of computational biologists driving innovation in agricultural biotechnology
- Contribute to written reports and presentations
Accountabilities
- Evaluate and compare high-throughput analytical methods for genomics data
- 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 present findings in group meetings
Qualifications for Bioinformatics Internship
Required Education
- Pursuing an MS or PhD in Bioinformatics, Molecular Biology, Genetics, or a related field
Technical Skills
- Experience with Linux/Unix command line and shell scripting
- Proficiency in Python or R
- Knowledge of molecular biology and genetics
- Experience with Git for version control
Analytical Skills
- 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
Preferred Qualifications
- Experience with high-throughput omics data analysis (e.g., RNA-seq)
- Familiarity with HPC job schedulers (e.g., SLURM) and/or cloud computing (AWS)
- Self-motivated and capable of working independently and collaboratively
- Enthusiasm for learning new computational methods and tools
- Experience presenting technical work to diverse audiences
Bioinformatics Internship Highlights
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Work with next-generation sequencing and omics datasets
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Use AI and Deep Learning tools to solve biological problems
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Hands-on bioinformatics training with Python, R, and Linux
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Experience real agricultural biotechnology innovation
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Collaborate with diverse computational biology teams
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Opportunity to contribute to scientific reports and presentations
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Exposure to HPC, cloud computing, and cutting-edge research tools
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Ideal for MS/PhD students in bioinformatics, genetics, or molecular biology
