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Biostatistics Machine Learning Jobs (NOW HIRING)

Artera

Biostatistics Research Associate

$35 - $45/hr

You will work closely with biostatisticians, data analysts, machine learning scientists, clinical operations, medical affairs, regulatory, and product teams to support statistical analyses and data ...

Artera

Biostatistics Research Associate

$35 - $45/hr

You will work closely with biostatisticians, data analysts, machine learning scientists, clinical operations, medical affairs, regulatory, and product teams to support statistical analyses and data ...

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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.

Assistant Professor (12MO), Biostatistics

Brooklyn, NY • On-site

SUNY Downstate Health Sciences University
Health Care and Social Assistance • 1 - 5K employees
Learn more about SUNY Downstate Health Sciences Universityexternal

$105K - $120K/yr

Full-time

Re-posted 29 days ago

Job description


The Department of Epidemiology & Biostatistics in the School of Public Health at SUNY Downstate Health Sciences University is seeking a full-time Assistant Professor (12MO). The successful candidate will: Teach biostatistics courses to masters and doctoral students.
Mentor Master of Public Health and doctoral students.
Provide biostatistics support to faculty in the School of Public Health and across Downstate Health Sciences University.
Engage in a focused area of research.
Qualifications
Required Qualifications
  • Terminal degree, PhD, MD, ScD.
  • Experience in teaching Data Science courses, program development, and developing and managing biostatistical support at the institutional level.
  • Experience with data display; spatial analysis and modeling; statistical methods for hierarchical data; longitudinal repeated-measures data; complex survey data; mixed-methods data; quasi-experimental research designs; causal inference methods such as propensity score matching methods, and structural equation models; non-parametric and semi parametric methods; statistical learning methods for prediction and classification; and/or big data analytic expertise in-omics data, imaging data, bioinformatics, and electronic health records data.
  • Expertise in machine learning and Al approaches to public health research is also desirable.
  • Successful attainment of extramural funding and demonstrated research expertise, as evidenced by a substantial publication record in high-quality journals.
  • Or, a satisfactory equivalent combination of experience, education and training to the above.

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