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Entry Level Science Jobs in Davis, CA (NOW HIRING)

Verdantas

Staff Scientist I

West Sacramento, CA · Hybrid

$50K - $60K/yr

This is an entry-level stormwater professional role and is a great fit for someone who is eager to ... Bachelor's degree in environmental science, engineering, or related field * 0-2 years of experience ...

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, CA · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Science information

What is an entry level science job?

Entry level science jobs are positions designed for individuals who are new to the scientific workforce, typically requiring a bachelor’s degree or less experience. These roles can be found in various fields such as biology, chemistry, environmental science, and laboratory technology. Common duties include conducting experiments, collecting and analyzing data, maintaining lab equipment, and supporting senior scientists. Entry level science jobs provide valuable hands-on experience and are a stepping stone for further career advancement in science.

What types of projects or tasks can an entry level science professional expect to work on during their first year?

As an entry level science professional, you can expect to support more experienced team members by assisting with data collection, performing routine laboratory experiments, preparing samples, and maintaining accurate records. You may also help with literature reviews, equipment calibration, and basic data analysis. Collaboration is common, so you'll likely work closely with researchers, lab managers, and possibly cross-functional teams, gaining valuable exposure to the workflow of scientific research and development.

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

To thrive as an Entry Level Science professional, you typically need a bachelor's degree in a relevant scientific field, strong analytical abilities, and foundational research skills. Familiarity with laboratory equipment, data analysis software (such as Excel or SPSS), and standard operating procedures is often required. Effective communication, attention to detail, and teamwork are crucial soft skills for collaborating on experiments and presenting findings. These skills ensure accurate data collection, reliable results, and seamless integration within scientific teams.

What is the difference between Entry Level Science vs Entry Level Laboratory Technician?

AspectEntry Level ScienceEntry Level Laboratory Technician
Required CredentialsBachelor's degree in science or related fieldAssociate's or Bachelor's degree in laboratory technology or related field
Work EnvironmentResearch labs, educational institutions, environmental agenciesMedical, clinical, or research laboratories
Employer & Industry UsageUniversities, research institutions, government agenciesHospitals, diagnostic labs, biotech companies

Entry Level Science roles typically require a bachelor's degree and involve research, data analysis, or educational tasks in various scientific fields. Entry Level Laboratory Technicians often have similar educational backgrounds but focus more on performing tests and maintaining lab equipment in clinical or medical settings. Both roles serve as foundational positions in the scientific industry, with overlapping skills but different primary responsibilities.

What jobs can I do if I like science?

Entry-level science jobs include laboratory technician, research assistant, quality control analyst, and environmental technician. These roles often require basic scientific knowledge, attention to detail, and sometimes certifications or training in specific tools or procedures.

What are the most commonly searched types of Science jobs in Davis, CA?

The most popular types of Science jobs in Davis, CA are:

What are popular job titles related to Entry Level Science jobs in Davis, CA?

For Entry Level Science jobs in Davis, CA, the most frequently searched job titles are:

What cities near Davis, CA are hiring for Entry Level Science jobs?

Cities near Davis, CA with the most Entry Level Science job openings:

Entry Level Science jobs near you
Infographic showing various Entry Level Science job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Biostatistics Scientist (Plant Science)

Sakata Seed America, INC.

Woodland, CA • On-site

$59K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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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