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 interns experience level and academic background.
Role Purpose
- Gain valuable experience supporting bioinformatics scientists with high throughput genomics data analysis
- Learn to use cutting edge AI tools for gene expression inference
- Work in a diverse team of computational biologists developing new innovations for agricultural biotechnology
- Contribute to written reports and presentations
Accountabilities
- Evaluate and compare high throughput analytical methods for genomics data analysis
- 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 :
Requirements
- Education
- Pursuing MS or PhD in Bioinformatics Molecular Biology Genetics Computer Science or related fields
- Technical
- Experience 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
- 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
Preferred Requirements
- Experience with high throughput omics data analysis (e.g. RNAseq analysis)
- Experience with high-performance computing job schedulers (SLURM etc.) and/or 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 :
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.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: Work :
No
Employment Type :
Intern
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. Y...
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 interns experience level and academic background.
Role Purpose
- Gain valuable experience supporting bioinformatics scientists with high throughput genomics data analysis
- Learn to use cutting edge AI tools for gene expression inference
- Work in a diverse team of computational biologists developing new innovations for agricultural biotechnology
- Contribute to written reports and presentations
Accountabilities
- Evaluate and compare high throughput analytical methods for genomics data analysis
- 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 :
Requirements
- Education
- Pursuing MS or PhD in Bioinformatics Molecular Biology Genetics Computer Science or related fields
- Technical
- Experience 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
- 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
Preferred Requirements
- Experience with high throughput omics data analysis (e.g. RNAseq analysis)
- Experience with high-performance computing job schedulers (SLURM etc.) and/or 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 :
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.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: Work :
No
Employment Type :
Intern
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