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Entry Level Biostatistician Jobs (NOW HIRING)

Alira Health

Career Day: Open Application

... entry-level roles, or project-based opportunities across various departments, including: * Clinical Trial Assistant (CTA) * Data Manager * Biostatistician and Statistical Programmer * Project ...

Alira Health

Career Day: Open Application

... entry-level roles, or project-based opportunities across various departments, including: * Clinical Trial Assistant (CTA) * Data Manager * Biostatistician and Statistical Programmer * Project ...

Alira Health

Career Day: Open Application

... entry-level roles, or project-based opportunities across various departments, including: * Clinical Trial Assistant (CTA) * Data Manager * Biostatistician and Statistical Programmer * Project ...

State of Virginia

Epidemiologist

Richmond, VA

$55K - $65K/yr

The entry-level epidemiologist within the Office of Epidemiology, Division of Disease Prevention ... Working knowledge of biostatistics, computer data analysis, data quality assurance, and data ...

Syra Health

Junior Public Health Consultant

This entry-level position works under the general direction of the Project Lead or Senior ... Master's degree completed or in progress in Public Health, Epidemiology, Biostatistics, Health ...

Syra Health

Junior Public Health Consultant

This entry-level position works under the general direction of the Project Lead or Senior ... Master's degree completed or in progress in Public Health, Epidemiology, Biostatistics, Health ...

Vanderbilt Health

Research Assistant 1

Nashville, TN · On-site

$18.50 - $25.50/hr

This is seen an entry-level career position with significant growth potential as the candidate ... with biostatisticians -Refining and enforcing team data management guidelines and data QA ...

Washington University of St. Louis

$16.92 - $26.44/hr

We also apply biostatistics, quantitative biology, and synthetic biology to understand how cell ... Basic laboratory skills in molecular biology and cell biology. * Entry-level coding experience in R ...

Commence

Health Data Analyst Intern

Virginia Beach, VA · On-site

$20/hr

Requirements The Health Data Analyst Intern supports the Commence Data team with entry-level ... biostatistics, epidemiology, data science, statistics, economics, or a related field. * Completed ...

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Entry Level Biostatistician information

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How much do entry level biostatistician jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level biostatistician in the United States is $57.55, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $64.42 per hour, depending on experience, location, and employer.

What does an entry level biostatistician do?

An entry level biostatistician assists in designing studies, analyzing data, and interpreting results for research in public health, clinical trials, or medical studies. They use statistical software to organize and process data, create reports, and ensure the validity of research findings. Entry level biostatisticians work under the supervision of senior statisticians and often collaborate with scientists, researchers, and healthcare professionals.

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

To thrive as an Entry Level Biostatistician, you need a solid background in statistics, mathematics, and data analysis, typically supported by a degree in biostatistics, statistics, or a related field. Familiarity with statistical software such as SAS, R, or SPSS and experience working with clinical or biomedical datasets are often required. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies ensure accurate data interpretation, reliable research outcomes, and clear collaboration with multidisciplinary teams.

What are some common challenges faced by entry level biostatisticians during their first year on the job?

Entry level biostatisticians often encounter challenges such as learning to interpret complex clinical or biological data, adapting to industry-specific statistical software, and understanding regulatory guidelines in healthcare research. Collaboration with multidisciplinary teams—including clinicians, data managers, and senior statisticians—can also require strong communication skills. Overcoming these challenges typically involves on-the-job training, mentorship, and actively seeking feedback to build both technical and interpersonal competencies.

What is the difference between Entry Level Biostatistician vs Data Analyst?

AspectEntry Level BiostatisticianData Analyst
Required CredentialsBachelor's or Master's in Biostatistics, Statistics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work EnvironmentHealthcare, clinical research, public healthBusiness, marketing, finance, technology
Employer & Industry UsagePharmaceutical companies, research institutions, healthcare organizationsCorporations, consulting firms, tech companies

Entry Level Biostatisticians and Data Analysts often share similar educational backgrounds and skills. However, biostatisticians focus more on healthcare and clinical research data, while data analysts work across various industries with broader data types. Both roles require strong statistical knowledge, but biostatisticians typically have specialized training in biostatistics and work in health-related fields.

Are entry level biostatisticians in demand?

Entry level biostatisticians are in demand due to the growing need for data analysis in healthcare, pharmaceuticals, and research organizations. Strong skills in statistical software and a solid understanding of biology or medicine increase job prospects in this field.

Does entry level biostatistician pay well?

Entry level biostatisticians typically earn a starting salary that is competitive within the healthcare and research industries, often ranging from $50,000 to $70,000 annually depending on location and employer. As they gain experience and develop skills in statistical software like R or SAS, salaries can increase significantly.

Is entry level biostatistician a hard job?

An entry-level biostatistician role involves analyzing health data, often requiring knowledge of statistical software like R or SAS and a strong foundation in statistics. The job can be challenging due to the complexity of medical data and the need for attention to detail, but it is generally manageable for those with relevant education and skills.
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Entry Level Biostatistician jobs near you
Infographic showing various Entry Level Biostatistician job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $119,702 per year, or $57.5 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