Scientific Business Analyst information
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$17.79 - $22.71
2% of jobs
$22.71 - $27.62
4% of jobs
$27.62 - $32.54
12% of jobs
$35.74 is the 25th percentile. Wages below this are outliers.
$32.54 - $37.46
11% of jobs
$37.46 - $42.37
13% of jobs
The median wage is $45.95 / hr.
$42.37 - $47.29
12% of jobs
$47.29 - $52.21
12% of jobs
$52.21 - $57.12
10% of jobs
$57.27 is the 75th percentile. Wages above this are outliers.
$57.12 - $62.04
18% of jobs
$62.04 - $66.96
4% of jobs
$66.96 - $71.87
3% of jobs
How much do scientific business analyst jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for scientific business analyst in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.
Scientific Business Analysts are professionals who bridge the gap between scientific research and business operations. They analyze data, processes, and trends within scientific organizations to help inform decision-making and strategy. Their role often involves translating complex scientific findings into actionable business insights, working with both researchers and business stakeholders. This ensures that scientific projects align with organizational goals and have measurable business value.
A Scientific Business Analyst acts as a bridge between scientific research teams and business stakeholders, translating complex scientific findings into actionable business insights. They often participate in cross-functional meetings, gather and analyze data from both laboratory and market sources, and help align scientific developments with organizational goals. Effective communication and the ability to understand both technical and commercial perspectives are crucial for success in this role. Collaboration tools and regular updates ensure that everyone is informed and projects move forward smoothly.
To thrive as a Scientific Business Analyst, a strong background in life sciences or related fields, analytical skills, and a relevant degree such as a BS or MS are essential. Familiarity with data analysis tools (e.g., Excel, R, Python), business intelligence platforms, and experience with project management or laboratory information management systems (LIMS) is typically required. Exceptional communication, problem-solving, and stakeholder management skills help bridge the gap between scientific teams and business objectives. These competencies are vital to accurately translate scientific data into actionable business strategies and drive informed decision-making.
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