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Biostatistical Analyst Jobs (NOW HIRING)

Geisinger Health

Biostatistician

Danville, PA · On-site

Writing biostatistical analysis plans for research proposals and grants * Calculating sample size and power, managing, analyzing, and interpreting study data and results, contributing to study ...

Geisinger

Biostatistician

Danville, PA · On-site +1

Writing biostatistical analysis plans for research proposals and grants * Calculating sample size and power, managing, analyzing, and interpreting study data and results, contributing to study ...

LRES Corporation

The ideal candidate will possess exceptional analytical, leadership, and communication skills, with demonstrated expertise in biostatistical methods, clinical and public health research, and ...

LRES Corporation

Senior Biostatistician

Chicago, IL · On-site

The ideal candidate will possess exceptional analytical, leadership, and communication skills, with demonstrated expertise in biostatistical methods, clinical and public health research, and ...

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Biostatistical Analyst information

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How much do biostatistical analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for biostatistical analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a biostatistical analyst?

A Biostatistical Analyst is a professional who applies statistical methods to the analysis of biological, medical, or public health data. They work closely with researchers and scientists to design studies, interpret data, and draw meaningful conclusions that inform healthcare decisions or scientific research. Their responsibilities often include data cleaning, statistical modeling, and preparing reports or visualizations to communicate findings. Biostatistical Analysts are commonly employed in academic research, pharmaceutical companies, public health organizations, and hospitals.

What are the key skills and qualifications needed to thrive as a biostatistical analyst?

To thrive as a Biostatistical Analyst, you need a strong background in statistics, data analysis, and epidemiology, usually supported by a degree in biostatistics, statistics, or a related field. Proficiency with statistical software such as SAS, R, or Stata, and familiarity with data management systems are typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills that help convey complex findings to non-technical stakeholders. These competencies ensure accurate data interpretation, reliable research outcomes, and collaboration within multidisciplinary research teams.

How does a biostatistical analyst typically collaborate with clinical research teams during a study?

A Biostatistical Analyst works closely with clinical research teams from the study design phase through data analysis and reporting. They help determine appropriate statistical methods, develop analysis plans, and ensure data quality and integrity. Throughout the study, analysts communicate findings, clarify data-related questions, and support the interpretation of results, making collaboration essential for accurate and meaningful outcomes. This teamwork often involves regular meetings, shared documentation, and ongoing feedback to address challenges or adapt to evolving study needs.

What is the difference between Biostatistical Analyst vs Data Analyst?

AspectBiostatistical AnalystData 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, pharmaceutical, or research institutionsVarious industries including finance, marketing, tech
Employer & Industry UsageUsed mainly in healthcare, clinical trials, public healthWidely used across multiple sectors for data interpretation

The main difference between a Biostatistical Analyst and a Data Analyst lies in their industry focus and typical work environment. Biostatistical Analysts primarily work in healthcare and research settings, applying statistical methods to biological data. Data Analysts have a broader scope, working across various industries to interpret data for business insights. Both roles require strong statistical skills and similar educational backgrounds, but their applications and industry contexts differ.

Does biostatistical analyst pay well?

Biostatistical analysts typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 annually, with experienced analysts earning over $100,000, especially in healthcare or pharmaceutical industries. Strong skills in statistical software and data analysis can enhance earning potential.

Is biostatistics in high demand?

Biostatistical analysts are in high demand due to the growth of healthcare, clinical research, and public health sectors. They are valued for their skills in data analysis, statistical software, and understanding of medical research, leading to strong job prospects and competitive salaries.
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Biostatistical Analyst jobs near you
Infographic showing various Biostatistical Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Biostatistics Specialist (Remote | $120 -$170/hr)

Santa Ana, CA • On-site

Synthires
See more jobs at Synthiresexternal

$120 - $170/hr

Other

Posted 7 days ago

Job description


Biostatistician


Position: Biostatistician


Type: Contract


Compensation: $120–$170/hour


Location: Remote


About the Opportunity

This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects.

In this role, you'll apply your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs. Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems.

No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory knowledge are the primary qualifications for success in this role.

Responsibilities

  • Evaluate AI-generated biostatistical analyses, clinical research outputs, and statistical methodologies for accuracy and scientific rigor.
  • Apply expertise in study design, hypothesis testing, regression analysis, survival analysis, and statistical modeling.
  • Analyze clinical trial data, observational studies, epidemiological data, and healthcare datasets.
  • Review experimental designs, statistical analysis plans, endpoints, sample size calculations, and data interpretation.
  • Assess the appropriateness of statistical methods, assumptions, models, and analytical approaches.
  • Identify methodological errors, statistical inconsistencies, biases, and potential limitations in analyses.
  • Translate complex biostatistical concepts and research findings into clear, structured documentation for AI training and evaluation.
  • Apply professional judgment to ensure methodological rigor, clinical relevance, regulatory sensitivity, and statistical accuracy.

Required Qualifications

  • Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Mathematics, or a related quantitative discipline.
  • Strong experience in biostatistical analysis, clinical research, healthcare research, or pharmaceutical research.
  • Expertise in statistical modeling, hypothesis testing, regression analysis, survival analysis, and experimental design.
  • Experience analyzing clinical trials, observational studies, or real-world healthcare data.
  • Proficiency in statistical software such as R, SAS, Python, SPSS, or Stata.
  • Strong understanding of clinical research methodologies, data interpretation, and statistical reporting.
  • Excellent analytical, problem-solving, written, and verbal communication skills.
  • Ability to work independently in a fully remote environment.

Preferred Qualifications

  • PhD in Biostatistics, Statistics, Epidemiology, Public Health, or a related field.
  • Experience working with clinical trials, pharmaceutical research, medical research, or regulatory submissions.
  • Familiarity with FDA, EMA, ICH, GCP, or other relevant regulatory guidelines.
  • Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks.
  • Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation.
  • Experience collaborating with cross-functional, clinical, research, or remote teams.

Compensation

  • Competitive compensation of $120–$170/hour.
  • Weekly payments.
  • Independent contractor engagement.

Application Process

  1. Easy Apply on LinkedIn
  2. Check Email for Next Steps
  3. Participate in Resume Evaluation & Interview Stage

Apply