Statistician
Statistician
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Job Description
Please note: This position can be supported remotely from within the United States. Optimal support locations are in the Durham NC and Clinton IL areas.
At Syngenta we are building the most collaborative and trusted team in agriculture to provide leading seeds innovations that enhance the prosperity of farmers worldwide. Our Statistical Design and Analytics team within Trait Evaluation is seeking a Statistician with a passion for agriculture and data analysis skills to help transform laboratory greenhouse or field-derived data into decisions related to trait performance selection and prediction.
As a Statistician working in Traits R&D you will work collaboratively to design relevant experiments to robustly test material in the field to guide decisions on advancement of material through the traits pipeline.
Accountabilities:
- Conduct statistical analyses on datasets including environmental and safety assessment studies such as agronomic/phenotypic composition germination non-target organism and protein expression.
- Provide guidance on experimental design in support of robust data analysis for studies to support Trait Evaluation and Product Safety.
- Assist in interpretation of results and generating reports including the production of data tables and graphics for data visualization.
- Collaborate directly with applied crop teams study directors and other scientists engaging stakeholders and experts across Traits R&D.
Qualifications :
Required:
- Masters degree statistics preferably in biostatistics agriculture sciences and/or related sciences.
- A minimum 2 years of experience in experimental design statistical analysis and applied statistics.
- Experience utilizing SAS statistical software for the analysis of experimental datasets.
- Must be eligible to work in the United States without sponsorship support from Syngenta.
Preferred:
- Proficient skills in Data Analytics and Experimental Design especially as it pertains to field trialing agronomy and crop composition.
- Ability to perform statistical analysis of data for the purpose of making data-driven decisions and understand the complexity of statistical analysis within agricultural research.
- Proficient understanding of experimental designs commonly used in agriculture and life sciences.
- Strong experience collaborating with diverse teams to make data-driven decisions.
- Strong oral and written communication skills in English including the ability to communicate effectively with individuals of diverse language cultural and scientific backgrounds.
- Proficiency in data organization analysis and reporting utilizing programs such as R or Python.
- Proficient in statistical analysis with strong focus in mixed models and multivariate analyses.
- Understanding of experimental design knowledge in field trialing and data analysis of data derived from field experiments in agriculture.
- Experience conducting sample size and power calculations appropriate for hypothesis testing.
- Understanding of Good Laboratory Practices (GLP) and ability to comply with GLP requirements.
Additional Information :
What We Offer:
- A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical Dental & Vision) that starts your first day.
- 401k plan with company match Profit Sharing & Retirement Savings Contribution.
- Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: 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.
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Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
