Remote Protein Engineering Scientist information
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$61.6K - $72.1K
11% of jobs
$76.5K is the 25th percentile. Wages below this are outliers.
$72.1K - $82.7K
19% of jobs
$82.7K - $93.2K
9% of jobs
The median wage is $95.4K / yr.
$93.2K - $103.8K
26% of jobs
$109K is the 75th percentile. Wages above this are outliers.
$103.8K - $114.3K
10% of jobs
$114.3K - $124.9K
7% of jobs
$124.9K - $135.4K
9% of jobs
$135.4K - $146K
3% of jobs
$146K - $156.5K
1% of jobs
How much do remote protein engineering scientist jobs pay per year?
As of Aug 21, 2026, the average yearly pay for remote protein engineering scientist in the United States is $98,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $116,000.00 per year, depending on experience, location, and employer.
A Remote Protein Engineering Scientist designs and modifies proteins using computational and experimental methods, often from a home or off-site location. They leverage bioinformatics tools, molecular modeling, and laboratory data to develop proteins with improved or novel functions for applications in biotechnology, medicine, or industry. Collaboration with multidisciplinary teams and effective communication are essential, as much of the work is coordinated virtually. Their work can involve tasks such as enzyme optimization, antibody engineering, or developing therapeutic proteins.
To thrive as a Remote Protein Engineering Scientist, you need a strong background in molecular biology, protein chemistry, and bioinformatics, typically supported by a PhD or relevant advanced degree. Familiarity with computational modeling tools (such as Rosetta or PyMOL), high-throughput screening systems, and programming languages like Python or R is crucial. Excellent problem-solving abilities, communication skills, and the capability to collaborate virtually with cross-functional teams help set top candidates apart. These skills and qualities are vital for efficiently designing, analyzing, and optimizing proteins while contributing effectively in a remote, research-driven environment.
Remote Protein Engineering Scientists often encounter challenges related to effective collaboration and communication with multidisciplinary teams, since much of the work involves sharing data and coordinating experiments virtually. Managing complex computational tools and ensuring secure data sharing also require robust digital infrastructure. To address these challenges, it's important to establish clear communication protocols, utilize collaborative platforms for data analysis, and schedule regular virtual meetings to align on project goals. Building strong partnerships with lab-based colleagues and staying updated on the latest remote lab technologies can further enhance productivity and integration within the team.
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