Research Scientist Microbial Biotechnology information
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$50.5K - $61.7K
3% of jobs
$84.2K - $95.4K
13% of jobs
$103.1K is the 25th percentile. Wages below this are outliers.
$95.4K - $106.6K
4% of jobs
The median wage is $116.7K / yr.
$106.6K - $117.9K
26% of jobs
$117.9K - $129.1K
3% of jobs
$129.1K - $140.3K
1% of jobs
$148.7K is the 75th percentile. Wages above this are outliers.
$140.3K - $151.5K
24% of jobs
$151.5K - $162.8K
0% of jobs
$162.8K - $174K
19% of jobs
How much do research scientist microbial biotechnology jobs pay per year?
As of Sep 15, 2026, the average yearly pay for research scientist microbial biotechnology in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.
A Research Scientist in Microbial Biotechnology studies microorganisms such as bacteria, fungi, and viruses to develop new technologies and products. Their work often involves conducting experiments, analyzing data, and developing applications in fields like medicine, agriculture, and environmental science. They might engineer microbes to produce medicines, clean up pollutants, or improve crops. Collaboration with other scientists and staying current with scientific advancements are also key parts of the job.
To thrive as a Research Scientist in Microbial Biotechnology, you need advanced knowledge in microbiology, molecular biology, and biotechnology, typically supported by a Ph.D. or relevant master's degree. Familiarity with laboratory techniques such as PCR, gene editing, bioinformatics tools, and experience using laboratory information management systems (LIMS) are essential. Critical thinking, attention to detail, and effective communication are key soft skills that help drive innovation and collaboration. These skills and qualities are crucial for designing experiments, interpreting data, and advancing research in this dynamic and impactful field.
Research Scientists in Microbial Biotechnology often encounter challenges such as optimizing microbial strains for industrial applications, troubleshooting experimental protocols, and keeping up with rapid advances in genetic engineering technologies. Managing complex data sets and ensuring reproducibility of results can also be demanding. Collaborating closely with cross-functional teams—including bioinformaticians, process engineers, and regulatory specialists—can help address these challenges, as well as staying engaged with current literature and participating in professional development opportunities.
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