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Entry Level Agricultural Biotechnology Jobs (NOW HIRING)

TekWissen LLC

Lab Technician

Salisbury, MD · On-site

$17 - $18/hr

... Biotechnology, Life science ingredients, Nutrition, Microbial Control, Agriculture, Materials ... Monday to Friday from 05:30 AM till 04:00 PM / 04:30 PM Entry-level role supporting both field and ...

TekWissen LLC

Manufacturing Associate

Portsmouth, NH · On-site

$20 - $24/hr

... biotechnology, life science ingredients, nutrition, microbial control, agriculture, materials ... Associate's or Bachelor's degree in a science-related discipline preferred. * Entry-level ...

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Entry Level Agricultural Biotechnology information

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$36.5K

$78.6K

$100K

How much do entry level agricultural biotechnology jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level agricultural biotechnology in the United States is $78,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is an entry level agricultural biotechnology job?

Entry level agricultural biotechnology jobs are positions for individuals who are new to the field and typically require a bachelor’s degree in biology, agriculture, biotechnology, or a related discipline. These roles often involve assisting in laboratory research, conducting experiments, analyzing data, and supporting the development of genetically modified crops or agricultural products. Common job titles include lab technician, research assistant, and quality control associate. These positions provide foundational experience for advancing into more specialized or senior roles within agricultural biotechnology.

What types of projects and responsibilities can I expect in an entry level agricultural biotechnology role?

In an entry-level agricultural biotechnology position, you can expect to assist with laboratory experiments, data collection, and analysis related to plant genetics, crop improvement, or pest resistance. Typical responsibilities include preparing samples, maintaining lab equipment, and documenting results under the supervision of senior scientists. You may also participate in field trials, help monitor crop performance, and collaborate with team members from research, quality control, and production departments. This hands-on experience provides a strong foundation for future growth in research or technical roles within the agricultural biotech industry.

What are the key skills and qualifications needed to thrive as an entry level agricultural biotechnology professional, and why are they important?

To thrive as an Entry Level Agricultural Biotechnology professional, you typically need a bachelor's degree in biology, agriculture, biotechnology, or a related field, along with a strong understanding of genetics and laboratory techniques. Familiarity with molecular biology tools, PCR, gel electrophoresis, and data analysis software is commonly required. Attention to detail, problem-solving abilities, and effective teamwork help individuals excel in research and collaborative environments. These skills and qualities are crucial for ensuring accurate research, supporting innovation, and contributing to advancements in agricultural productivity and sustainability.

What is the difference between Entry Level Agricultural Biotechnology vs Entry Level Plant Science?

AspectEntry Level Agricultural BiotechnologyEntry Level Plant Science
Required CredentialsBachelor's in Agricultural Science, Biotechnology, or related fieldBachelor's in Plant Biology, Botany, or related field
Work EnvironmentLaboratories, field research sites, biotech companiesResearch labs, agricultural research stations, universities
Employer & Industry UsageBiotech firms, seed companies, agricultural research organizationsUniversities, government agencies, research institutions

Entry Level Agricultural Biotechnology and Entry Level Plant Science share similar educational backgrounds and work environments, often overlapping in research and fieldwork. However, Agricultural Biotechnology focuses more on developing genetically modified crops and biotech solutions, while Plant Science emphasizes understanding plant biology and ecology. Both roles serve the agricultural sector but cater to different specialized interests within plant-related research and development.

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What cities are hiring for Entry Level Agricultural Biotechnology jobs?

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What are the most commonly searched types of Agricultural Biotechnology jobs?

The most popular types of Agricultural Biotechnology jobs are:

What job categories do people searching Entry Level Agricultural Biotechnology jobs look for?

The top searched job categories for Entry Level Agricultural Biotechnology jobs are:

Entry Level Agricultural Biotechnology jobs near you
Infographic showing various Entry Level Agricultural Biotechnology job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 4% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $78,629 per year, or $37.8 per hour.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA • On-site

$59K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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 


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