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Entry Level Applied Biology Jobs (NOW HIRING)

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... applied to imaging or single-cell data. Ability to communicate, educate and engage wet lab ...

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... applied to imaging or single-cell data. Ability to communicate, educate and engage wet lab ...

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... applied to imaging or single-cell data. • Ability to communicate, educate and engage wet lab ...

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... applied to imaging or single-cell data. Ability to communicate, educate and engage wet lab ...

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... applied to imaging or single-cell data. Ability to communicate, educate and engage wet lab ...

Bruker Spatial Biology is looking for an entry-level Bioinformatician to join our R&D department ... applied to imaging or single-cell data. Ability to communicate, educate and engage wet lab ...

Nursery Technician

Purcell, OK · On-site

$14 - $15/hr

... and biological factors. Examples of tasks performed: * Assisting with planting and harvesting ... The Nursery Technician is an entry-level position that does not require any prior job experience.

... in applied GMP manufacturing environments. The role focuses on sampling execution, data ... Education Master's degree in Microbiology, Biology, Biotechnology. Experience * Entry-level ...

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Entry Level Applied Biology information

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$13

$24

$50

How much do entry level applied biology jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for entry level applied biology in the United States is $24.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $25.96 per hour, depending on experience, location, and employer.

What are the career opportunities in entry level applied biology?

Entry-level applied biology positions include roles such as laboratory technician, research assistant, quality control analyst, and environmental technician. These jobs often require knowledge of laboratory techniques, data analysis, and familiarity with scientific tools and software, providing a foundation for advancement in research, environmental management, or biotech industries.

What types of projects do entry level applied biology professionals typically work on, and how do they collaborate with other team members?

Entry-level applied biology professionals often assist with laboratory experiments, data collection, and analysis for projects related to agriculture, pharmaceuticals, or environmental science. They commonly support senior scientists by preparing samples, maintaining equipment, and recording detailed observations. Collaboration is key—these professionals work closely with biologists, lab technicians, and sometimes engineers to ensure experiments are conducted accurately and efficiently. Regular team meetings and shared documentation platforms help facilitate communication and project progress.

What skills and qualifications are needed to thrive as an entry level applied biologist?

To thrive as an Entry Level Applied Biologist, you need a solid understanding of biological concepts, laboratory techniques, and data analysis, usually obtained through a bachelor's degree in biology or a related field. Familiarity with laboratory equipment, statistical analysis software (such as R or SPSS), and safety protocols is often required. Strong attention to detail, analytical thinking, and effective communication skills set candidates apart in this role. These competencies are crucial for conducting accurate experiments, interpreting results, and effectively contributing to research or development projects.

Where can I work if I study entry level applied biology?

Entry level applied biology graduates can work in laboratories, research facilities, environmental consulting firms, agricultural companies, and healthcare settings. These roles often involve data collection, analysis, and using tools like microscopes or laboratory equipment, with some positions requiring relevant certifications or knowledge of biological software.

What is the difference between Entry Level Applied Biology vs Entry Level Biological Technician?

AspectEntry Level Applied BiologyEntry Level Biological Technician
Required CredentialsBachelor's in Biology, Applied Biology, or related fieldBachelor's in Biology, Biological Sciences, or related field
Work EnvironmentResearch labs, fieldwork, environmental agenciesLaboratories, research institutions, environmental firms
Employer & Industry UsageUniversities, biotech companies, environmental organizationsResearch labs, government agencies, biotech firms
Common Search & ComparisonYesYes

Entry Level Applied Biology and Entry Level Biological Technician roles often require similar educational backgrounds and work environments. Applied Biology tends to focus on practical applications in environmental, agricultural, or biotech settings, while Biological Technicians typically support research projects in labs. Both roles are common entry points into biological careers, with overlapping skills and industry usage.

What careers use entry level applied biology?

Entry-level applied biology skills are used in careers such as laboratory technician, research assistant, environmental technician, quality control analyst, and biological technician. These roles often require knowledge of laboratory techniques, data analysis, and familiarity with scientific tools and safety protocols.

What is an entry level applied biology job?

Entry level applied biology jobs are positions for recent graduates or those new to the field that involve using biological principles and techniques to solve practical problems in areas such as healthcare, agriculture, environmental science, or biotechnology. Common roles include lab technician, research assistant, quality control analyst, and environmental technician. These jobs often require a bachelor's degree in biology or a related field, and may involve tasks such as conducting experiments, collecting and analyzing data, and supporting senior scientists in research or product development.
More about Entry Level Applied Biology jobs
What cities are hiring for Entry Level Applied Biology jobs? Cities with the most Entry Level Applied Biology job openings:
What are the most commonly searched types of Applied Biology jobs? The most popular types of Applied Biology jobs are:
What states have the most Entry Level Applied Biology jobs? States with the most job openings for Entry Level Applied Biology jobs include:
What job categories do people searching Entry Level Applied Biology jobs look for? The top searched job categories for Entry Level Applied Biology jobs are:
Infographic showing various Entry Level Applied Biology job openings in the United States as of August 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,049 per year, or $24.1 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