Biomarker Operations information
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$11.30 - $15.12
9% of jobs
$17.62 is the 25th percentile. Wages below this are outliers.
$15.12 - $18.95
24% of jobs
The median wage is $21.86 / hr.
$18.95 - $22.77
22% of jobs
$22.77 - $26.60
16% of jobs
$28.29 is the 75th percentile. Wages above this are outliers.
$26.60 - $30.42
9% of jobs
$30.42 - $34.24
7% of jobs
$34.24 - $38.07
4% of jobs
$38.07 - $41.89
4% of jobs
$41.89 - $45.72
3% of jobs
$45.72 - $49.54
1% of jobs
$49.54 - $53.37
0% of jobs
How much do biomarker operations jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for biomarker operations in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $30.29 per hour, depending on experience, location, and employer.
Biomarker operations refer to the management and coordination of all activities related to biomarkers in clinical trials and research studies. This includes planning, collection, processing, analysis, and documentation of biological samples to ensure high-quality, reliable data. Professionals in biomarker operations work closely with clinical, laboratory, and data management teams to ensure compliance with protocols and regulations. Their work is essential for supporting drug development and personalized medicine initiatives.
To thrive in Biomarker Operations, you need a strong background in life sciences or related fields, experience with clinical research processes, and an understanding of biomarker development. Familiarity with laboratory information management systems (LIMS), data analysis tools, and regulatory compliance frameworks such as GCP is typically required. Excellent project management, organizational, and cross-functional communication skills are vital for coordinating between laboratories, clinical teams, and external partners. These competencies ensure the accurate, timely, and compliant execution of biomarker studies, which are critical for drug development and clinical decision-making.
Professionals in Biomarker Operations often encounter challenges such as coordinating complex sample logistics, ensuring data integrity across multiple sites, and managing tight timelines in clinical trials. Effective communication and collaboration with cross-functional teams like clinical operations, laboratory staff, and data management are essential to address these issues. Utilizing robust project management tools and maintaining clear documentation can help streamline processes and minimize errors, making it easier to navigate the dynamic and regulated environment of biomarker studies.
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