Functional Genomics Intern at Syngenta Group

Durham, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Bioinformatics, Molecular Biology, Genetics, Computer Science, Linux, Unix, Shell Scripting, Python, R, Git, Deep Learning, Data Analysis, Problem Solving, Communication, High Throughput Omics, Cloud Computing, Technical Presentation

Industry

Farming

Description

Company Description Syngenta Seeds is a global leader in developing and producing high-quality seeds that improve crop yields and resilience. Our advanced seed technologies help farmers mitigate risks from disease and drought while using less land, water, and inputs. We deliver innovative hybrid varieties and biotech crops, including more vigorous, resistant plants that thrive even in challenging conditions. Headquartered in the United States, Syngenta Seeds is committed to sustainable agriculture and feeding the world. Job Description 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. 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 a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI

Responsibilities

The intern will analyze next-gen omics datasets and use AI prediction tools to solve biological problems. They will support bioinformatics scientists with high throughput genomics data analysis and contribute to written reports and presentations.