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Genetics Plant Breeding Data Science Jobs (NOW HIRING)

Trial and Data Management: * Organize and execute large-scale trial data collection, management ... Bachelor's Degree in Genetics, Plant Breeding, Plant Science, Agronomy, or a related field.

... genetics, data science, and engineering, designing the predictive systems that guide our breeding ... Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine ...

... genetics, data science, and engineering, designing the predictive systems that guide our breeding ... Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine ...

... genetics, data science, and engineering, designing the predictive systems that guide our breeding ... Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine ...

PhD in plant breeding, animal breeding, quantitative genetics, statistical genetics, data science, or a related scientific discipline; or an MS with 5+ years of relevant experience; * Strong ...

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

... data analysis and analytical tasks to support scientific and operational excellence with ... D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a ...

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Genetics Plant Breeding Data Science information

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$57K

$81.3K

$106.5K

How much do genetics plant breeding data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for genetics plant breeding data science in the United States is $81,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $92,500.00 per year, depending on experience, location, and employer.

How does a Genetics Plant Breeding Data Scientist typically collaborate with plant breeders and field researchers?

Genetics Plant Breeding Data Scientists work closely with plant breeders and field researchers to analyze genetic and phenotypic data, design experiments, and interpret results that inform breeding decisions. They often translate complex data insights into actionable recommendations that can be applied in breeding programs. Regular communication and teamwork are essential, as data scientists rely on field researchers for high-quality data and breeders for domain expertise, ensuring that their analyses align with practical objectives and constraints in the field.

What are the key skills and qualifications needed to thrive as a Genetics Plant Breeding Data Scientist, and why are they important?

To thrive as a Genetics Plant Breeding Data Scientist, you need expertise in plant genetics, quantitative genetics, and statistical analysis, usually backed by an advanced degree in plant breeding, genetics, or data science. Familiarity with programming languages like R or Python, experience with bioinformatics tools, and proficiency in statistical software such as SAS or GenStat are typically required. Strong analytical thinking, problem-solving, and collaboration skills help bridge the gap between biological research and actionable breeding decisions. These skills are essential for advancing breeding programs, interpreting complex genetic data, and driving innovation in crop improvement.

What is the difference between Genetics Plant Breeding Data Science vs Genetics Plant Breeding?

AspectGenetics Plant Breeding Data ScienceGenetics Plant Breeding
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; knowledge of genetics and plant biologyDegree in Genetics, Plant Science, or Agronomy; strong background in biology and plant breeding techniques
Work EnvironmentData analysis labs, research institutions, biotech companiesFieldwork, research stations, agricultural companies
Industry UsageFocuses on data analysis, modeling, and bioinformatics applications in plant breedingDesigns and implements breeding programs, field trials, and genetic selection

While Genetics Plant Breeding Data Science emphasizes data analysis and bioinformatics skills to support plant breeding, Genetics Plant Breeding involves practical application of breeding techniques and fieldwork. Both roles are essential in advancing crop development but differ mainly in their focus and daily tasks.

What is genetics plant breeding data science?

Genetics plant breeding data science is an interdisciplinary field that combines genetics, plant breeding, and data science techniques to improve crop varieties. Professionals in this area use large datasets, statistical models, and computational tools to analyze genetic information and breeding outcomes. Their work helps identify desirable traits in plants, predict breeding success, and accelerate the development of improved crops. This field is crucial for increasing crop yield, disease resistance, and sustainability in agriculture.
Infographic showing various Genetics Plant Breeding Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,295 per year, or $39.1 per hour.
Associate Breeder: Blackberry GE Trait Breeding & Strawberry Breeding

Associate Breeder: Blackberry GE Trait Breeding & Strawberry Breeding

Plant Sciences Genetics, Inc.

Watsonville, CA • On-site

$95K - $125K/yr

Full-time

Medical, Retirement, PTO

Posted 23 days ago


Job description

Job Description:

Plant Sciences Genetics (PSG) is seeking a motivated and technically skilled breeder to support advanced breeding initiatives in blackberry and strawberry. This role combines leadership of PSG's gene-edited (GE) blackberry breeding project with responsibility for strawberry disease-resistance pre-breeding efforts. Approximately one-third of the role will focus on blackberry trait breeding using GE germplasm developed in collaboration with PSG's technology partner. The remaining two-thirds will focus on developing strawberry breeding lines with stacked disease resistance traits using traditional, marker-assisted, and genomics-enabled breeding approaches. This position is designed for an early- to mid-career breeder seeking hands-on experience across the breeding pipeline, including trait integration, population development, phenotyping, marker implementation, and field evaluation. The successful candidate will work across field, greenhouse, nursery, lab, and office environments while collaborating closely with breeding, pathology, propagation, bioinformatics, and molecular genetics teams.

Key Responsibilities: Blackberry GE Trait Breeding (~1/3 Time):

- Lead coordination and execution of PSG's gene-edited blackberry breeding project.

- Manage traited breeding populations across greenhouse, nursery and field environments, ensuring accurate tracking and data integrity.

-Coordinate trial execution, material movement, and evaluation timelines with PSG's technology partner.

-Collaborate with tech partner in utilizing molecular markers linked to GE traits.

-Collect, organize, and summarize phenotypic data key to blackberry evaluation.

- Assist with trial establishment, maintenance, and evaluation across multiple environments and production systems.

-Contribute to internal reporting, field days, and technical updates.

-Ensure compliance with applicable regulatory, permitting, and biosafety requirements related to traited plant materials.

Key Responsibilities: Strawberry Pre-Breeding (~2/3 Time):

-Lead PSG's strawberry pre-breeding work focused on developing disease-resistant breeding lines.

-Develop, advance, and maintain pre-breeding strawberry populations carrying resistance traits against key strawberry pathogens.

-Collaborate with PSG's pathology team to screen germplasm against various pathogens.

-Collaborate with PSG's bioinformatics and molecular genetics staff to develop markers linked to disease resistance traits and utilize said markers to optimize pre-breeding efficiencies.

-Collaborate with PSG's strawberry breeders to support the integration of disease resistance into elite breeding lines using conventional and genomics-assisted breeding methods.

-Collect, organize, and summarize phenotypic data key to strawberry evaluation.

-Assist with trial establishment, maintenance, and evaluation across multiple environments and production systems.

-Contribute to internal reporting, field days, and technical updates related to the strawberry pre-breeding project.

Qualifications Required:

-MS or PHD in Plant Breeding, Horticulture, Plant Genetics, Plant Science, or a related field.

-Strong understanding of genetics, genomics, gene-editing, and applied breeding principles.

-Excellent organizational skills and attention to detail.

-Ability to work effectively across field, greenhouse, nursery, laboratory, and office settings.

-Strong communication and collaboration skills.

-Ability to travel as needed.

Preferred:

-Experience with perennial crops, berries, or woody plants preferred; blackberry and/or strawberry experience is a strong plus.

-Experience with molecular markers, trait integration, and biotechnology-enabled breeding approaches.

-Familiarity with disease-resistance breeding and germplasm development.

Development Opportunity:

This role offers significant exposure to advanced breeding tools, trait development strategies, molecular breeding tools, and commercialization pathways within a collaborative applied breeding environment.

Company Description

Plant Sciences Genetics, Inc. is a global leader in development of superior berry varieties. Our competitive varieties are plants of exceptional quality, setting the standard for excellence across the berry industry worldwide.