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Biostatistics Machine Learning Jobs (NOW HIRING)

The University of Miami

BIOSTATISTICIAN 3

Miami, FL · On-site

... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ... PhD in Biostatistics or closely related field (e.g., Epidemiology, Applied Statistics) preferred.

Unlearn

Biostatistician

San Francisco, CA · On-site

About Our Team We come from a variety of backgrounds ranging from machine learning to marketing ... MS or PhD in Statistics or Biostatistics. * Experience writing statistical analysis plans and ...

University of Miami

BIOSTATISTICIAN 3

Miami, FL

... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ... PhD in Biostatistics or closely related field (e.g., Epidemiology, Applied Statistics) preferred.

Unlearn.AI

Biostatistician

San Francisco, CA · On-site

About Our Team We come from a variety of backgrounds ranging from machine learning to marketing ... MS or PhD in Statistics or Biostatistics. * Experience writing statistical analysis plans and ...

Unlearn

Biostatistician

San Francisco, CA · On-site

$150K - $180K/yr

About Our Team We come from a variety of backgrounds ranging from machine learning to marketing-but ... MS or PhD in Statistics or Biostatistics. * Experience writing statistical analysis plans and ...

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Biostatistics Machine Learning information

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How much do biostatistics machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for biostatistics machine learning in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What is biostatistics machine learning?

Biostatistics machine learning refers to the application of machine learning techniques to analyze and interpret biological and health-related data. Professionals in this field use statistical models and algorithms to uncover patterns, make predictions, and assist in decision-making in areas such as clinical trials, genomics, epidemiology, and public health. By combining expertise in statistics, biology, and computer science, they help advance medical research and improve healthcare outcomes. This interdisciplinary approach is essential for managing the complexity and scale of modern biomedical data.

What are the key skills and qualifications needed to thrive as a biostatistics machine learning professional?

To excel in Biostatistics Machine Learning, you need a solid background in statistics, data analysis, and programming, often supported by an advanced degree in biostatistics, computer science, or a related field. Proficiency in statistical software (such as R or SAS), machine learning frameworks (like TensorFlow or scikit-learn), and data management systems is typically required. Strong problem-solving, critical thinking, and communication skills help you interpret complex data and collaborate effectively with multidisciplinary teams. These skills ensure accurate data-driven insights and innovative solutions in biomedical research and healthcare analytics.

How do biostatistics machine learning professionals typically collaborate with clinical researchers in a healthcare setting?

Biostatistics machine learning professionals often work closely with clinical researchers to design studies, analyze complex datasets, and interpret results. They translate clinical questions into statistical models and help ensure that data collection methods align with analytical goals. Regular communication is key, as they must explain technical findings in accessible language and adapt modeling approaches based on clinical feedback, fostering a collaborative environment that supports evidence-based decision-making.

What is the difference between Biostatistics Machine Learning vs Data Scientist?

AspectBiostatistics Machine LearningData Scientist
Required CredentialsMaster's or PhD in Biostatistics, Data Science, or related fields; knowledge of statistical methods and machine learningBachelor's or higher in Computer Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentHealthcare, pharmaceutical, or research institutions focusing on health dataTech companies, finance, marketing, and various industries handling large datasets
Employer & Industry UsagePrimarily in healthcare, clinical research, and public health sectorsAcross multiple industries including tech, finance, retail, and consulting

While both roles involve machine learning and data analysis, Biostatistics Machine Learning focuses on health-related data and statistical modeling in medical research, whereas Data Scientists work across diverse industries with broader data applications. The roles share skills but differ in domain expertise and typical work environments.

What other helpful pages are available for Biostatistics Machine Learning?

Other pages related to Biostatistics Machine Learning:

Infographic showing various Biostatistics Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $54,803 per year, or $26.3 per hour.

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

San Diego, CA • On-site

Synthires
See more jobs at Synthiresexternal

$120 - $170/hr

Other

Posted 7 days ago

Key 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.

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