Discovery Breeding Data Scientist Intern

Key Skills

Analytical Techniques, Cloud computing, Environmental, Genomic data, Health and Safety, Large data sets, Linux Operating system, Python Programming, R Programming, Statistical modeling

Job Description

We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, the North America Discovery Breeding team is looking for an intern to work with our discovery breeders and data scientists to work on cutting-edge projects which bring novel innovations, methods, and technologies to product development, ultimately to create and shape the future of Syngenta’s breeding pipeline. 

As an intern at Syngenta, you will have the opportunity to work alongside some of the brightest minds in the industry, and work on real projects finding real solutions. Work with us and you’ll get: 

• Competitive wages
• Ongoing career development resources
• The opportunity to work on meaningful, innovative projects that solve problems 
• A culture that celebrates diversity & inclusion, promotes professional development, and offers flexible work options to meet both your work and personal needs 

Projects pursued during the internship can be flexible to highlight the experience and expertise of the applicant. 

Estimated Duration: May 2023 – December 2023 

You will: 

• Collaborate closely with a multi-disciplinary team of plant breeders & data scientists in analytical activities required for maintaining an active corn or soy discovery breeding program 
• Gather, transform and structure large datasets for genetic or statistical analysis 
• Integrate multiple data types (genomic data, performance data, etc.) to deliver predictive and prescriptive insights
• Expand existing analytical methodologies and identify novel solutions that balance theory and the practicalities of working at industrial scale 
• Engage with stakeholders to communicate key results 
• Operate in accordance with Syngenta Health, Safety, & Environmental (HSE) standards 

Qualifications

What you must have: 

• Enrollment in a M.S. or Ph.D. program in Data Science, Computer Science, Quantitative Genetics, Population Genetics, Agronomy, Statistics, Genomics, Animal or Plant Breeding, or related field 

What you might also contribute to the team: 

• Demonstrated proficiency in one or more modern programming languages (Python, R etc.) 
• Familiarity with Linux shell scripting in a cloud environment is a plus 
• Scientific curiosity and passion for creative problem solving 
• Ability to communicate complex ideas and results in a clear and actionable manner 
• Exceptional interpersonal skills, comfortable working independently and as part of a team 
• Proactive approach to assigned objectives and goals 
• Prior data cleaning and management experience is strongly desired