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Summer Genetics Plant Breeding Jobs (NOW HIRING)

Plant Breeder

Guadalupe, CA ยท On-site

$120K/yr

S. in Plant Breeding, Genetics, Horticulture, Plant Sciences, or a related discipline. * Strong understanding of plant breeding principles, and the application modern breeding tools and technologies ...

Plant Breeder

Guadalupe, CA ยท On-site

$83K - $120K/yr

S. in Plant Breeding, Genetics, Horticulture, Plant Sciences, or a related discipline. * Strong understanding of plant breeding principles, and the application modern breeding tools and technologies ...

Plant Breeder

Guadalupe, CA ยท On-site

$83K - $120K/yr

S. in Plant Breeding, Genetics, Horticulture, Plant Sciences, or a related discipline. * Strong understanding of plant breeding principles, and the application modern breeding tools and technologies ...

S. in Plant Breeding, Genetics, Horticulture, Plant Sciences, or a related discipline. * Strong understanding of plant breeding principles, and the application modern breeding tools and technologies ...

Reporting to the Popcorn Breeding leadership team, you will support the development of new popcorn ... status, genetic information and/or any other characteristic or status protected by national ...

D. or equivalent doctorate in an appropriate field (plant sciences, genetics, plant breeding or related disciplines) and provide evidence all requirements have been meet for the completion of the Ph.

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Summer Genetics Plant Breeding information

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How much do summer genetics plant breeding jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for summer genetics plant breeding in the United States is $21.93, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.04 per hour, depending on experience, location, and employer.

How much do plant breeders get paid?

Plant breeders typically earn a median annual salary of around $60,000 to $80,000, with experienced professionals or those working in research institutions earning higher salaries. Salaries can vary based on education, experience, location, and the complexity of the breeding projects they handle.

How do you become a plant geneticist?

To become a plant geneticist, typically a bachelor's degree in biology, genetics, or a related field is required, followed by a master's or Ph.D. in plant genetics, plant breeding, or a similar discipline. Gaining experience with laboratory techniques, plant breeding programs, and genetic analysis tools such as DNA sequencing is also important for career development.

What is the highest paying job in genetics?

In genetics, roles such as geneticists, genomics directors, and research scientists tend to have the highest salaries, especially in leadership positions or specialized fields like clinical genetics or biotech. Senior-level positions often require advanced degrees, extensive experience, and expertise in bioinformatics or molecular techniques, which contribute to higher compensation.

Will AI replace the plant breeder?

AI can assist plant breeders by analyzing large datasets, predicting plant traits, and optimizing breeding strategies, but it is unlikely to fully replace the role. Plant breeding requires expertise in genetics, fieldwork, and decision-making that AI tools support rather than replace. Successful plant breeders often combine traditional knowledge with advanced technologies to develop new crop varieties.

What is the difference between Summer Genetics Plant Breeding vs Summer Genetics Crop Research Assistant?

AspectSummer Genetics Plant BreedingSummer Genetics Crop Research Assistant
Primary RoleDeveloping new plant varieties through breeding techniquesSupporting crop research activities, data collection, and fieldwork
Required CredentialsTypically a background in plant science, genetics, or agronomyOften a related degree or coursework in agriculture or biology
Work EnvironmentLaboratories, greenhouses, and breeding fieldsField sites, research stations, and laboratories
Industry UsageUsed by plant breeding companies and agricultural firmsCommon in research institutions and agricultural companies

While both roles support agricultural research, Summer Genetics Plant Breeding focuses on developing new plant varieties, requiring specialized breeding skills. In contrast, Summer Genetics Crop Research Assistants primarily support research activities through data collection and fieldwork. Both positions are essential in advancing agricultural innovation but differ in responsibilities and expertise required.

More about Summer Genetics Plant Breeding jobs
What cities are hiring for Summer Genetics Plant Breeding jobs? Cities with the most Summer Genetics Plant Breeding job openings:
What are the most commonly searched types of Genetics Plant Breeding jobs? The most popular types of Genetics Plant Breeding jobs are:
What states have the most Summer Genetics Plant Breeding jobs? States with the most job openings for Summer Genetics Plant Breeding jobs include:
Infographic showing various Summer Genetics Plant Breeding job openings in the United States as of July 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $45,615 per year, or $21.9 per hour.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA โ€ข On-site

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description


JOB SUMMARY

The Biostatistics Scientist supports applied statistical analysis, quantitative genetics, and breeding analytics for vegetable crop research programs. This entry-level role contributes to genomic, phenotypic, and field-trial data analysis under the guidance of senior scientists, managers and cross-functional project teams. The position helps develop reliable, reproducible analytical workflows that improve trait evaluation, marker-assisted selection, genomic prediction, and data-driven breeding decisions.

Key Responsibilities

Statistical Analysis, Quantitative Genetics & Genomic Prediction

  • Support the development, testing, and interpretation of statistical and genomic prediction models for vegetable crop breeding programs.
  • Apply standard statistical and quantitative genetics methods, such as mixed models, heritability estimation, genetic correlations, and basic genomic prediction approaches.
  • Assist with evaluating model performance, prediction accuracy, and data quality across populations, environments, and breeding stages.
  • Contribute to analyses that help breeders understand trait variation, experimental results, and selection opportunities.
  • Document methods, assumptions, code, and results clearly to support reproducibility and team review.

Molecular Marker & Trait Analytics

  • Analyze molecular marker datasets, including SNP and haplotype data, to support trait mapping, marker validation, and breeding decisions.
  • Assist molecular and breeding teams with data summaries for marker development, marker deployment, and trait evaluation projects.
  • Support quality control of genotypic and phenotypic datasets, including data cleaning, formatting, consistency checks, and basic exploratory analysis.
  • Help prepare selection metrics, trait summaries, and visualizations that integrate multiple sources of breeding data.
  • Translate analytical results into concise summaries that can be reviewed by breeders, molecular scientists, and project teams.

Genomic, Phenotypic & Field Trial Data Analysis

  • Prepare, manage, and analyze genomic, phenotypic, greenhouse, and field-trial datasets under guidance from senior team members.
  • Develop and maintain reproducible scripts for data quality control, statistical analysis, visualization, and reporting.
  • Contribute to the improvement of analytical templates, reporting workflows, and shared data practices in collaboration with bioinformatics and data teams.

Project Support & Cross-Functional Collaboration

  • Support analytical components of breeding, trait development, molecular marker, and technology projects.
  • Collaborate with breeders, phenotyping, molecular biology, bioinformatics, and data teams to understand project objectives and data requirements.
  • Prepare clear technical summaries, tables, figures, and presentations to communicate results to internal stakeholders.
  • Learn and apply current methods in biostatistics, quantitative genetics, breeding analytics, and reproducible scientific computing.


Required Qualifications

Education

  • PhD in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field; industry experience a plus
    or
  • MS in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field with 0–2 years of relevant academic, internship; industry experience a plus


Experience & Technical Skills

  • Foundational training in statistics, biostatistics, quantitative genetics, plant breeding, computational biology, or related analytical disciplines.
  • Experience with statistical analysis of biological, genomic, phenotypic, field-trial, or experimental datasets through graduate research, internships, or applied projects.
  • Working knowledge of statistical programming in R, Python, SAS, or similar tools.
  • Good understanding of experimental design, mixed models, regression, data visualization, and reproducible analytical workflows.
  • Experience with molecular markers, genomic data, plant breeding concepts, or trait analysis is desirable.
  • Ability to learn new methods, manage multiple analytical tasks, and deliver accurate results with guidance.
  • Strong attention to detail, scientific curiosity, communication skills, and willingness to collaborate across disciplines.

Preferred Qualifications

  • Research experience in plant breeding, seed industry research, agricultural biotechnology, or applied life-science data analysis.
  • Experience in genomic prediction, QTL mapping, GWAS, marker-assisted selection, or trait discovery workflows.
  • Familiarity with breeding databases, phenotyping systems, laboratory information systems, or integrated data platforms.
  • Experience preparing figures, tables, dashboards, or technical reports for scientific or cross-functional audiences.
  • Exposure to cloud-based, Linux, Git, or high-performance computing environments for data analysis.
  • Interest in applying AI, machine learning, and modern statistical methods to practical breeding and research questions.

Competencies & Behaviors

  • Demonstrates curiosity, initiative, and accountability in learning new analytical methods and scientific workflows.
  • Applies statistical methods carefully, with attention to data quality, assumptions, and reproducibility.
  • Works collaboratively with scientists from breeding, molecular biology, phenotyping, bioinformatics, and data teams.
  • Communicates analytical results clearly to both technical and non-technical audiences.
  • Manages assigned tasks effectively, asks timely questions, and follows through on deliverables.
  • Contributes to a culture of scientific rigor, continuous improvement, teamwork, and practical problem solving.

Reporting Structure

  • Reports to Senior Biotech Manager

Works under the guidance of senior scientists, project leads, and cross-functional research teams

BENEFITS:

Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)

Employee Philanthropic Giving Program

Disability Insurance (plans vary by location)


Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)

Holiday Bonus

Performance Incentive Bonus Program
Tuition Reimbursement

529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance


Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays

Birthday Off