ZipRecruiter

Log In

1

Phd Plant Science Jobs (NOW HIRING)

European Plant Science Organisation

$80 - $100/hr

... PhD in horticultural sciences, controlled environment agriculture, plant physiology, biosystems engineering, agricultural engineering, environmental engineering, or a related discipline * strong ...

TekWissen LLC

Plant Microbiologist

Chesterfield, MO · On-site

Collaborate with an interdisciplinary team of scientists to manage data and develop, implement, and ... Minimum of 4 years of experience, including graduate education (e.g., MS + 2 years or PhD). Skill ...

Bayer Inc.

Plant Biology Co-op

Chesterfield, MO

$22.75 - $47.75/hr

... scientists to achieve shared research goals and technical milestones. YOUR TASKS AND ... Enrolled within a university in the US, pursuing a MS or PhD degree in Biology, Agronomy ...

New

Marylandconnect

$47K - $64K/yr

EDUCATIONAL REQUIREMENT The candidate should have a PhD in Chemistry, Plant Science or related fields. REQUIRED KNOWLEDGE, SKILLS & ABILITIES : * Knowledge of scientific analysis techniques such as ...

Bayer

Pepper Machine Harvest Intern

Woodland, CA · On-site

S. or PhD student in one of the following areas: Plant Breeding, Agronomy, Plant Genetics, or Plant Science; * Experience conducting field trials, developing protocols, and managing projects ...

Bayer

Pepper Machine Harvest Intern

Woodland, CA · On-site

S or PhD student in one of the following areas: Plant Breeding, Agronomy, Plant Genetics, or Plant Science; Experience conducting field trials, developing protocols, and managing projects ...

Bayer Inc.

Pepper Machine Harvest Intern

Woodland, CA · On-site

S. or PhD student in one of the following areas: Plant Breeding, Agronomy, Plant Genetics, or Plant Science; * Experience conducting field trials, developing protocols, and managing projects ...

Bayer

Pepper Machine Harvest Intern

Woodland, CA · On-site

S or PhD student in one of the following areas: Plant Breeding, Agronomy, Plant Genetics, or Plant Science; Experience conducting field trials, developing protocols, and managing projects ...

Roseburg

Plant Engineer

Dillard, OR

Purpose A Plant Engineer is responsible for all plant infrastructure including, but not limited to ... Master's degree or PhD in Engineering (Electrical, Mechanical, Computer Science) * Fifteen (15 ...

Roseburg Forest Products

Plant Engineer

Dillard, OR · On-site

Description Purpose A Plant Engineer is responsible for all plant infrastructure including, but not ... Master's degree or PhD in Engineering (Electrical, Mechanical, Computer Science) * Fifteen (15 ...

next page

Showing results 1-20

All JobsScience JobsGeology JobsSoil Scientist JobsPhd Plant Science Jobs

Phd Plant Science information

See salary details

$57K

$81.3K

$106.5K

How much do phd plant science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for phd plant 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.

What is a PhD plant science?

PhD Plant Science professionals are experts who have completed a doctoral degree focused on the scientific study of plants. They conduct research on plant biology, genetics, physiology, and ecology to solve problems related to agriculture, food security, environmental sustainability, and biotechnology. These professionals often work in academic, governmental, or private sector roles, such as university professors, research scientists, or agricultural consultants. Their advanced training enables them to design experiments, analyze data, and contribute to innovations in plant breeding, crop improvement, and ecosystem management.

What are the common career paths for someone with a PhD in plant science?

A PhD in Plant Science opens diverse career paths both within academia and in industry. Academically, many pursue roles as university professors or research scientists, focusing on independent research, teaching, and mentoring students. Outside academia, opportunities include positions in agricultural biotechnology companies, government agencies, and environmental consulting, where PhD holders often lead research and development projects, manage teams, or provide expert advice on plant breeding, crop improvement, or sustainability initiatives. Career advancement is typically supported by gaining experience in project management, publishing research, and building professional networks through conferences and collaborations.

What are the key skills and qualifications needed to thrive as a PhD in plant science?

To thrive as a PhD in Plant Science, you need advanced knowledge in plant biology, genetics, and experimental research methods, usually supported by a doctoral degree in plant science or a related field. Expertise with laboratory equipment, data analysis software (such as R or SAS), and familiarity with scientific publication systems is typically required. Critical thinking, perseverance, and strong written and verbal communication skills help researchers excel in collaborative and independent settings. These skills are essential for advancing scientific knowledge, securing research funding, and effectively sharing findings with the scientific community and stakeholders.

What is the difference between Phd Plant Science vs Plant Biologist?

AspectPhd Plant SciencePlant Biologist
Required CredentialsPhD in Plant Science or related fieldTypically a Bachelor's or Master's, but can include PhD
Work EnvironmentResearch labs, universities, agricultural companiesResearch institutions, environmental agencies, academia
Industry UsageAcademic research, crop improvement, biotechnologyResearch, conservation, environmental assessment

Both roles involve plant research, but Phd Plant Science typically requires a doctoral degree and focuses on advanced research and development in agriculture and biotechnology. Plant Biologists may have varied educational backgrounds and often work in research or environmental fields. The Phd Plant Science role is more specialized and research-intensive, often leading to academic or industry leadership positions.

What are popular job titles related to Phd Plant Science jobs?

For Phd Plant Science jobs, the most frequently searched job titles are:

Infographic showing various Phd Plant Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $81,295 per year, or $39.1 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

Re-posted 14 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