Discovery Breeding Data Scientist Intern
Durham, NC, United States
Syngenta Group
Company Description
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States.Job Description
About This Job
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
Additional Information
#LI-KR1
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, gender identity, marital or veteran status, disability, or any other legally protected status.
Family and Medical Leave Act (FMLA)
(http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)
Equal Employment Opportunity Commission's (EEOC)
(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)
Employee Polygraph Protection Act (EPPA)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Industrial Linux Python R Shell scripting Statistics
Perks/benefits: Career development Flex hours Medical leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs