ZipRecruiter

Log In

1

Internship Plant Phenotyping Jobs (NOW HIRING)

Bayer Inc.

Field Associate II

Mason, MI · On-site

... improve overall plant breeding phenotyping such as the pilot and use of geospatial systems ... co-op, or internship job experience OR Masters Degree in relevant field with 1 year proven ...

Bayer

Field Associate II

Mason, MI · On-site

... improve overall plant breeding phenotyping such as the pilot and use of geospatial systems ... internship, or academic experience; Broad knowledge of agricultural equipment and row crop ...

All JobsPlant Phenotyping JobsInternship Plant Phenotyping Jobs

Internship Plant Phenotyping information

See salary details

$11

$19

$26

How much do internship plant phenotyping jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship plant phenotyping in the United States is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.39 per hour, depending on experience, location, and employer.

What kind of hands-on experience can I expect during an internship in plant phenotyping?

As an intern in Plant Phenotyping, you can expect to gain practical experience working with advanced imaging equipment, data collection tools, and software for analyzing plant traits. You’ll often be involved in setting up experiments, monitoring plant growth, and recording phenotypic data under different environmental conditions. Collaboration with research scientists and technicians is common, providing opportunities to contribute to ongoing projects and learn from experienced professionals. This role is ideal for those interested in applied plant science, as it offers exposure to both laboratory and field environments, and can serve as a stepping stone to careers in agronomy, crop science, or plant research.

What is the difference between Internship Plant Phenotyping vs Plant Breeding Intern?

AspectInternship Plant PhenotypingPlant Breeding Intern
Required CredentialsBasic biology, plant science knowledge, courseworkBiology, agriculture, or related degree; some breeding coursework
Work EnvironmentResearch labs, field trials, data analysisFieldwork, laboratory, data collection
Industry UsageResearch institutions, agricultural companies, biotech firmsSeed companies, research institutions, agricultural firms
Common Search IntentUnderstanding phenotyping techniques, data analysisLearning breeding methods, crop improvement

Internship Plant Phenotyping focuses on measuring and analyzing plant traits using advanced techniques, while Plant Breeding Interns work on developing new plant varieties through crossing and selection. Both roles involve fieldwork and data analysis but differ in their primary goals and methods.

What are the key skills and qualifications needed to thrive as an internship in plant phenotyping?

To excel as an intern in plant phenotyping, you generally need a background in plant sciences, biology, or a related field, with coursework or experience in plant physiology and data analysis. Familiarity with imaging technologies, data collection systems, and analysis software like R or Python is often required. Attention to detail, problem-solving skills, and the ability to work collaboratively are important soft skills in this role. These competencies are crucial for accurately collecting and analyzing phenotypic data, ensuring research quality, and contributing effectively to scientific projects.

What is an internship in plant phenotyping?

An Internship in Plant Phenotyping is a temporary, hands-on learning opportunity where students or recent graduates work with researchers or companies to study and analyze plant traits using advanced imaging, sensors, and data analysis techniques. Interns typically assist with experiments, collect and process data, and help interpret results to understand plant growth, health, and productivity. This experience provides valuable insights into plant biology, technology in agriculture, and research methodologies, preparing interns for careers in plant science, agronomy, or related fields.
More about Internship Plant Phenotyping jobs
What cities are hiring for Internship Plant Phenotyping jobs? Cities with the most Internship Plant Phenotyping job openings:
What are the most commonly searched types of Plant Phenotyping jobs? The most popular types of Plant Phenotyping jobs are:
What states have the most Internship Plant Phenotyping jobs? States with the most job openings for Internship Plant Phenotyping jobs include:
What job categories do people searching Internship Plant Phenotyping jobs look for? The top searched job categories for Internship Plant Phenotyping jobs are:
Internship Plant Phenotyping jobs near you
Infographic showing various Internship Plant Phenotyping job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Contract, and 3% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,032 per year, or $19.2 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

Posted 15 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