ZipRecruiter

Log In

2

Entry Level Biostatistics Jobs (NOW HIRING)

University of Utah

Biostatisticians

Campus, IL · On-site +1

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Campus, IL · On-site +1

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Salt Lake City, UT · On-site

$50K - $101K/yr

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Campus, IL · On-site +1

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Salt Lake City, UT · On-site +1

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Campus, IL · On-site +1

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Campus, IL · On-site +1

This is an Entry-Level position in the General Professional track. Job Code: P57141 Grade: P16 Biostatistician, II Requires moderate skill set and proficiency in discipline. Conducts work assignments ...

University of Utah

Biostatisticians

Campus, IL · On-site

$51 - $102/hr

Track Level P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code FLSA Code Professional ... Biostatistician, I Requires a bachelor's (or equivalency) + 2 years of directly related work ...

HEALTH FEDERATION OF PHILADELPHIA

Provide support to 1-2 student interns and/or entry-level data staff, when applicable. * Summarize ... statistics or biostatistics. Skills/Experience * A minimum of 2-5 years of experience as an ...

State of Virginia

Epidemiologist

Richmond, VA · On-site

$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 ...

State of Virginia

Epidemiologist

Portsmouth, VA · On-site

$55K - $67K/yr

The entry-level epidemiologist is responsible for carrying out a range of investigative and ... 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 ...

next page

Showing results 1-20

All Jobsbiostatistics JobsEntry Level Biostatistics Jobs

Entry Level Biostatistics information

See salary details

$14

$26

$79

How much do entry level biostatistics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level biostatistics in the United States is $26.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.08 per hour, depending on experience, location, and employer.

What is an entry level biostatistician?

Entry level biostatistics jobs typically involve assisting with the collection, analysis, and interpretation of data in biological, medical, or healthcare research settings. Professionals in these roles use statistical techniques to support studies on topics like drug efficacy, disease trends, or public health interventions. They often work under the supervision of senior biostatisticians or researchers, preparing datasets, running analyses, and helping to write reports or scientific papers. These positions usually require a background in statistics, mathematics, or a related field, and familiarity with statistical software such as SAS or R.

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

To thrive as an Entry Level Biostatistician, you need a solid background in statistics, mathematics, and data analysis, typically supported by a bachelor's or master's degree in biostatistics or a related field. Familiarity with statistical software such as SAS, R, or SPSS, and understanding of clinical trial data management systems are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data accurately and convey findings to diverse audiences. These skills ensure high-quality data analysis, support scientific research, and facilitate informed decision-making in healthcare and life sciences.

What types of projects or data analyses are commonly assigned to entry level biostatisticians, and how is mentorship typically provided in this role?

Entry level biostatisticians often work on tasks such as cleaning and organizing datasets, conducting basic statistical analyses, and assisting with the preparation of reports or research manuscripts. They may collaborate with senior biostatisticians and other research team members to support clinical trials or epidemiological studies. Mentorship is usually provided through regular check-ins with more experienced statisticians, code reviews, and opportunities to participate in team meetings where guidance and feedback are shared. This structure helps new biostatisticians develop their skills while contributing meaningfully to ongoing research projects.

What is the difference between Entry Level Biostatistics vs Entry Level Data Analysis?

AspectEntry Level BiostatisticsEntry Level Data Analysis
Required CredentialsBachelor's in Biostatistics, Statistics, or related fieldBachelor's in Data Science, Statistics, or related field
Work EnvironmentHealthcare, clinical research, public healthBusiness, marketing, technology sectors
Employer & Industry UsagePharmaceutical companies, research institutions, government agenciesTech firms, consulting, finance, marketing
Common Search & ComparisonYesNo

Entry Level Biostatistics focuses on applying statistical methods to health and medical research, often in clinical or public health settings. Entry Level Data Analysis is broader, involving analyzing data across various industries like tech and finance. While both roles require strong statistical skills, biostatistics emphasizes healthcare applications, whereas data analysis covers a wider range of sectors.

More about Entry Level Biostatistics jobs

What cities are hiring for Entry Level Biostatistics jobs?

Cities with the most Entry Level Biostatistics job openings:

What are the most commonly searched types of Biostatistics jobs?

The most popular types of Biostatistics jobs are:

What states have the most Entry Level Biostatistics jobs?

States with the most job openings for Entry Level Biostatistics jobs include:

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

The top searched job categories for Entry Level Biostatistics jobs are:

Entry Level Biostatistics jobs near you
Infographic showing various Entry Level Biostatistics job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $55,594 per year, or $26.7 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

Re-posted 9 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