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No Experience Biostatistics Jobs (NOW HIRING)

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How much do no experience biostatistics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for no experience biostatistics in the United States is $49.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $61.54 per hour, depending on experience, location, and employer.

What is a no experience biostatistics job?

A No Experience Biostatistics job is an entry-level position in biostatistics that does not require prior professional experience. These roles are typically designed for recent graduates or career changers with a background in statistics, mathematics, biology, or a related field. Responsibilities may include data analysis, statistical programming, assisting in research studies, and supporting senior biostatisticians. Employers may provide on-the-job training to help candidates develop necessary skills. Common job titles include Biostatistics Intern, Junior Biostatistician, or Statistical Assistant.

What are the typical entry-level responsibilities for a no experience biostatistics position?

In a No Experience Biostatistics role, you can expect to assist with data collection, organization, and basic analysis under the supervision of more experienced statisticians. You may help process research data, run simple statistical tests, maintain databases, and prepare summary tables or reports for team meetings. Collaboration is common, so you'll likely work with clinical researchers, data managers, and other team members to support ongoing projects. These tasks are designed to build your technical proficiency and understanding of biostatistical applications in real-world settings, providing a foundation for further growth in the field.

What are the key skills and qualifications needed to thrive in a no experience biostatistics position?

To thrive in a No Experience Biostatistics role, you need a basic understanding of statistics, mathematics, and data analysis, typically supported by a bachelor’s degree in a quantitative field. Familiarity with statistical software such as R, SAS, or SPSS and a willingness to learn these tools on the job are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and explain complex data findings clearly. These skills and qualities enable you to contribute effectively to team projects, learn quickly, and ensure accurate data analysis in real-world research or healthcare settings.

More about No Experience Biostatistics jobs

What cities are hiring for No Experience Biostatistics jobs?

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What are the most commonly searched types of Biostatistics jobs?

The most popular types of Biostatistics jobs are:

What states have the most No Experience Biostatistics jobs?

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The top searched job categories for No Experience Biostatistics jobs are:

Infographic showing various No Experience Biostatistics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $101,929 per year, or $49 per hour.

Biostatistician (Remote | $120-$170/hr)

Modesto, CA • On-site

$120 - $170/hr

Other

Posted 4 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