At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Analytics & Data Sciences Team is seeking a Breeding Data Scientist in Durham NC. This role will collaborate with a multidisciplinary team of biostatisticians and phenomics and enviromics scientists within the Germplasm Development Team to enhance breeding strategies through improved experimental design analysis and decision-making capabilities.
The ideal candidate will help deliver innovations that accelerate genetic gain through data-informed decisions by demonstrating initiative accountability collaboration technical leadership and strong stakeholder management.
Accountabilities:
- Collaborate extensively with biostatisticians phenomics scientists and enviromics scientists to support advanced data analysis initiatives.
- Drive validation processes for digital phenomics traits across stage-gate milestones.
- Spearhead integration of genomic phenomic and environmental datasets into breeding workflows to enhance selection precision and strategic decision-making.
- Support continuous improvement through applied statistical concepts in data collection experimental design and analysis workflows across breeding teams.
- Work directly with plant breeders to evaluate new breeding strategies via stochastic simulations.
- Support the creation and implementation of predictive models and decision-support platforms customized for breeding program requirements.
- Oversee adoption of innovative technologies and methodologies for breeding decisions in direct partnership with breeding teams.
- Collaborate with data scientists software engineers and other domain experts to ensure breeding solutions are scientifically robust accessible and value-generating.
- Communicate findings and recommendations clearly to both technical and non-technical audiences.
- Promotes a safe work environment to maintain our strong safety culture.
Qualifications :
PLEASE NOTE: Candidates must be legally authorized to work in the United States on a permanent basis without requiring current or future sponsorship (which also includes OPT/CPT and H-1B visas).
- Ph.D. in data science plant breeding quantitative genetics or equivalent plus 2 years of applied experience and deep technical understanding of commercial plant breeding and germplasm development processes.
- 3-5 years of applied data science experience in plant breeding agriculture life sciences or related domains with demonstrated impact on product development or operational optimization.
- Exceptional analytical capabilities with demonstrated success in independently delivering data-driven solutions through effective problem framing data exploration model development and validation and generation of actionable insights.
- Experience working with large-scale phenomic environmental and genomic datasets.
- Working knowledge of statistical modeling machine learning or simulation approaches applied to biological systems.
- Demonstrated expertise using R or Python and SQL to build manipulate and analyze extensive datasets and/or develop data models within cloud computing platforms (AWS Azure GCP Snowflake).
- Strong collaborative and communication capabilities with evidence of successful cross-functional teamwork.
- Ability to manage multiple projects and deliver results in a dynamic environment.
- Experience with version control CI/CD pipelines and MLOps practices including GitLab/GitHub model deployment monitoring and governance in production environments.
Additional Information :
What We Offer:
- A culture that celebrates belonging and collaboration 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 a top employer by Science Journal. Learn more about our team and our mission 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.
WL: 4A
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Analytics & Data Sciences Team is seeking a Breeding Data Scientist in Durh...
At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Analytics & Data Sciences Team is seeking a Breeding Data Scientist in Durham NC. This role will collaborate with a multidisciplinary team of biostatisticians and phenomics and enviromics scientists within the Germplasm Development Team to enhance breeding strategies through improved experimental design analysis and decision-making capabilities.
The ideal candidate will help deliver innovations that accelerate genetic gain through data-informed decisions by demonstrating initiative accountability collaboration technical leadership and strong stakeholder management.
Accountabilities:
- Collaborate extensively with biostatisticians phenomics scientists and enviromics scientists to support advanced data analysis initiatives.
- Drive validation processes for digital phenomics traits across stage-gate milestones.
- Spearhead integration of genomic phenomic and environmental datasets into breeding workflows to enhance selection precision and strategic decision-making.
- Support continuous improvement through applied statistical concepts in data collection experimental design and analysis workflows across breeding teams.
- Work directly with plant breeders to evaluate new breeding strategies via stochastic simulations.
- Support the creation and implementation of predictive models and decision-support platforms customized for breeding program requirements.
- Oversee adoption of innovative technologies and methodologies for breeding decisions in direct partnership with breeding teams.
- Collaborate with data scientists software engineers and other domain experts to ensure breeding solutions are scientifically robust accessible and value-generating.
- Communicate findings and recommendations clearly to both technical and non-technical audiences.
- Promotes a safe work environment to maintain our strong safety culture.
Qualifications :
PLEASE NOTE: Candidates must be legally authorized to work in the United States on a permanent basis without requiring current or future sponsorship (which also includes OPT/CPT and H-1B visas).
- Ph.D. in data science plant breeding quantitative genetics or equivalent plus 2 years of applied experience and deep technical understanding of commercial plant breeding and germplasm development processes.
- 3-5 years of applied data science experience in plant breeding agriculture life sciences or related domains with demonstrated impact on product development or operational optimization.
- Exceptional analytical capabilities with demonstrated success in independently delivering data-driven solutions through effective problem framing data exploration model development and validation and generation of actionable insights.
- Experience working with large-scale phenomic environmental and genomic datasets.
- Working knowledge of statistical modeling machine learning or simulation approaches applied to biological systems.
- Demonstrated expertise using R or Python and SQL to build manipulate and analyze extensive datasets and/or develop data models within cloud computing platforms (AWS Azure GCP Snowflake).
- Strong collaborative and communication capabilities with evidence of successful cross-functional teamwork.
- Ability to manage multiple projects and deliver results in a dynamic environment.
- Experience with version control CI/CD pipelines and MLOps practices including GitLab/GitHub model deployment monitoring and governance in production environments.
Additional Information :
What We Offer:
- A culture that celebrates belonging and collaboration 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 a top employer by Science Journal. Learn more about our team and our mission 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.
WL: 4A
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
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