Biostatistics Research Assistant information
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$10.71 - $12.52
3% of jobs
$12.52 - $14.34
7% of jobs
$15.37 is the 25th percentile. Wages below this are outliers.
$14.34 - $16.15
22% of jobs
The median wage is $17.96 / hr.
$16.15 - $17.96
16% of jobs
$17.96 - $19.78
20% of jobs
$20.60 is the 75th percentile. Wages above this are outliers.
$19.78 - $21.59
11% of jobs
$21.59 - $23.40
8% of jobs
$23.40 - $25.22
5% of jobs
$25.22 - $27.03
4% of jobs
$27.03 - $28.85
1% of jobs
How much do biostatistics research assistant jobs pay per hour?
As of Aug 15, 2026, the average hourly pay for biostatistics research assistant in the United States is $18.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.15 per hour, depending on experience, location, and employer.
Biostatistics Research Assistants often encounter challenges such as ensuring data quality, managing missing or inconsistent data, and handling complex statistical software. Additionally, interpreting results accurately while collaborating with multidisciplinary research teams can be demanding. Developing strong communication skills and attention to detail is crucial for presenting findings clearly and supporting the research objectives effectively.
To thrive as a Biostatistics Research Assistant, you need a solid background in statistics, mathematics, and biology, typically supported by a bachelor's or master's degree in biostatistics or a related field. Familiarity with statistical software such as R, SAS, or SPSS, and experience with data management systems are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with research teams. These abilities are crucial for producing accurate, meaningful analyses that support scientific research and evidence-based decision-making.
A Biostatistics Research Assistant supports scientific studies by collecting, analyzing, and interpreting data related to biology, medicine, or public health. They assist in designing experiments, managing databases, and applying statistical techniques to ensure data integrity and accurate results. Their work helps researchers draw meaningful conclusions and make evidence-based decisions in health-related fields.
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