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Plant Science Internship Jobs in California (NOW HIRING)

Bayer

Pepper Machine Harvest Intern

Woodland, CA · On-site

... month internship. The successful candidate will work in collaboration with scientists and ... Plant Breeding, Agronomy, Plant Genetics, or Plant Science; * Experience conducting field trials ...

Bayer

Pepper Machine Harvest Intern

Woodland, CA

... month internship. The successful candidate will work in collaboration with scientists and ... Plant Breeding, Agronomy, Plant Genetics, or Plant Science; Experience conducting field trials ...

Bayer Inc.

Pepper Machine Harvest Intern

Woodland, CA · On-site

... month internship. The successful candidate will work in collaboration with scientists and ... Plant Breeding, Agronomy, Plant Genetics, or Plant Science; * Experience conducting field trials ...

BrightView

Summer Internship

San Fernando, CA · On-site

$22 - $25/hr

Landscape Architecture, Civil Engineering, Construction Science, Construction Management, Agriculture-Business, Landscape Design or Plant Science And while not mandatory, it would be great if you ...

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How much do plant science internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for plant science internship in California is $18.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.11 per hour, depending on experience, location, and employer.

What is a plant science internship?

A Plant Science Internship is a temporary position that provides hands-on experience in plant biology, agriculture, or biotechnology. Interns may assist with lab experiments, field research, data collection, and plant care. These roles are typically found in universities, agricultural companies, botanical gardens, and research institutions, helping students and recent graduates gain practical skills.

What types of tasks and responsibilities should I expect during a plant science internship?

As a Plant Science Intern, you can expect to assist with preparing experiments, collecting and analyzing samples, recording research data, and maintaining laboratory or greenhouse environments. Your day-to-day tasks may include monitoring plant growth, supporting field studies, and assisting with soil, water, or tissue analysis. You will often work closely with a team of researchers, technicians, or agronomists, contributing to ongoing projects and occasionally presenting your findings. This exposure provides valuable hands-on experience and a deeper understanding of the plant science field, which is highly beneficial for future career opportunities.

What are the key skills and qualifications needed to thrive in a plant science internship, and why are they important?

To thrive as a Plant Science Intern, you need a background in biology or agriculture, laboratory experience, and familiarity with scientific research methods. Experience with data collection tools, microscopy, and software for data analysis such as Excel or R is often required. Attention to detail, strong communication skills, and the ability to work effectively in a team are valuable soft skills. These competencies ensure accurate data reporting, effective collaboration, and meaningful contributions in both laboratory and field settings.

What are the most commonly searched types of Plant Science jobs in California?

The most popular types of Plant Science jobs in California are:

What are popular job titles related to Plant Science Internship jobs in California?

For Plant Science Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Plant Science Internship jobs in California look for?

The top searched job categories for Plant Science Internship jobs in California are:

What cities in California are hiring for Plant Science Internship jobs?

Cities in California with the most Plant Science Internship job openings:

Plant Science Internship jobs near you
Infographic showing various Plant Science Internship job openings in California as of August 2026, with employment types broken down into 24% Internship, 63% Full Time, 3% Part Time, and 10% Temporary. Highlights an 100% In-person job distribution, with an average salary of $39,508 per year, or $19 per hour.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA • On-site

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Key responsibilities

  • Support the development, testing, and interpretation of statistical and genomic prediction models for vegetable crop breeding programs.

  • Analyze molecular marker datasets, including SNP and haplotype data, to support trait mapping, marker validation, and breeding decisions.

  • Prepare, manage, and analyze genomic, phenotypic, greenhouse, and field-trial datasets under guidance from senior team members.

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