Integrated Proteins information
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$23.3K - $35.6K
0% of jobs
$53.6K is the 25th percentile. Wages below this are outliers.
$48K - $60.3K
54% of jobs
$60.3K - $72.6K
0% of jobs
$72.6K - $84.9K
0% of jobs
$84.9K - $97.2K
0% of jobs
$97.2K - $109.5K
0% of jobs
$109.5K - $121.9K
4% of jobs
$132K is the 75th percentile. Wages above this are outliers.
$121.9K - $134.2K
20% of jobs
$134.2K - $146.5K
21% of jobs
How much do integrated proteins jobs pay per year?
As of Aug 20, 2026, the average yearly pay for integrated proteins in the United States is $92,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $135,000.00 per year, depending on experience, location, and employer.
Integrated proteins, also known as integral membrane proteins, are proteins that are permanently attached to the cell membrane. They play crucial roles in various cellular processes, such as transporting molecules across the membrane, cell signaling, and maintaining the structure of the cell. These proteins span the lipid bilayer and can interact with both the interior and exterior environments of the cell. Their functions are essential for cell communication and homeostasis.
To thrive as an Integrated Proteins Scientist, you need a strong background in biochemistry, molecular biology, and protein engineering, typically supported by an advanced degree in a life sciences field. Familiarity with laboratory techniques such as mass spectrometry, chromatography, and bioinformatics tools, as well as experience using LIMS and relevant data analysis software, is essential. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are crucial for driving innovation, ensuring accurate results, and advancing protein research and development.
Professionals in integrated proteins roles often encounter challenges such as coordinating across interdisciplinary teams, staying updated with rapidly advancing technologies, and managing complex data from various sources. To address these, it is essential to develop strong communication skills, foster collaborative relationships with colleagues in research, production, and quality control, and actively pursue continuous learning through training and industry seminars. Additionally, leveraging project management tools and bioinformatics software can help streamline workflows and ensure data integrity.
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