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Internship Plant Genomics Jobs (NOW HIRING)

Tamus

Postdoctoral Research Associate

College Station, TX · Hybrid

$4.1K/mo

... and interns. * Collaborate with USDA-ARS scientists. Required Qualifications: * Ph.D. (in hand by start date) in plant pathology, microbiology, microbial/molecular genomics, agronomy/crop science ...

Wisconsin

Research Specialist

Middleton, WI

$48K/yr

... construction, plant transformation and tissue culture, molecular genotyping (PCR and next ... Experience training or mentoring students, interns, or laboratory personnel Education: Bachelor ...

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How much do internship plant genomics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship plant genomics 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 is an internship in plant genomics?

An internship in plant genomics is a temporary, supervised position—often for students or recent graduates—focused on studying the genetic makeup of plants. Interns typically assist with laboratory experiments, data analysis, and research projects to better understand plant genes, traits, and their applications in agriculture or biotechnology. These internships provide hands-on experience with modern genomic technologies such as DNA sequencing and bioinformatics tools, and they help interns develop skills valuable for careers in plant science or related fields.

What types of projects and daily tasks can I expect during an internship in plant genomics?

As an intern in Plant Genomics, you can expect to be involved in a variety of hands-on and analytical tasks, such as assisting with DNA/RNA extraction, PCR amplification, and sequencing experiments. Daily responsibilities often include preparing samples, maintaining lab equipment, analyzing genetic data using bioinformatics tools, and documenting results for ongoing research projects. Interns frequently collaborate with lab technicians, postdoctoral researchers, and principal investigators, gaining exposure to experimental design and scientific discussions. This role provides valuable insights into plant genetics research and can serve as an excellent foundation for careers in plant science, biotechnology, or academic research.

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

To thrive in a Plant Genomics internship, you need a background in biology or plant sciences, with foundational knowledge of genetics and molecular biology. Familiarity with laboratory techniques such as PCR, DNA sequencing, and bioinformatics tools like BLAST or genome browsers is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns excel in research environments. These skills and qualities are vital for accurately conducting experiments, interpreting complex data, and collaborating within scientific teams.

What is the difference between Internship Plant Genomics vs Plant Biotechnologist?

AspectInternship Plant GenomicsPlant Biotechnologist
Required CredentialsTypically pursuing or recent graduate in plant science, genetics, or related fieldBachelor's or master's degree in plant science, genetics, or biotechnology
Work EnvironmentResearch labs, academic institutions, or biotech companiesResearch labs, agricultural companies, biotech firms, or universities
Employer & Industry UsageInternship positions in research projects, educational programsFull-time roles in plant research, crop improvement, or biotech development

Internship Plant Genomics focuses on gaining hands-on experience in plant genetics and genomics research, often as a temporary position for students or recent graduates. In contrast, Plant Biotechnologists typically hold full-time roles involved in developing genetically modified plants or improving crop traits. Both roles require a background in plant science, but internships are more educational, while biotechnologist roles are professional careers.

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Internship Plant Genomics jobs near you
Infographic showing various Internship Plant Genomics job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% 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)

Woodland, CA • On-site

Sakata Seed America, INC.
See more jobs at Sakata Seed America, INC.external

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 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