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Protein Scientist Jobs (NOW HIRING)

AMRI

Research Scientist I; Protein Science

Buffalo, NY

$62.35K/yr

Research Scientist I; Protein Science in Buffalo, NY Build your future at Curia, where our work has the power to save lives The Research Scientist I is expected to have foundational understanding in ...

Lila Sciences

Co-op, Protein Sciences

Cambridge, MA · On-site

Your Impact at LILA Lila Sciences is seeking a dedicated Cell Free Co-op for Protein Sciences to join our team. The focus of this role will be cell culture and cell lysis to generate materials for ...

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How much do protein scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for protein scientist in the United States is $90,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $114,500.00 per year, depending on experience, location, and employer.

What does a Protein Scientist do?

A Protein Scientist studies the structure, function, and properties of proteins to understand their roles in biological systems. They use techniques such as chromatography, mass spectrometry, and X-ray crystallography to analyze and modify proteins for applications in biotechnology, pharmaceuticals, and healthcare. Their work is critical in drug development, enzyme engineering, and disease research, contributing to advancements in medicine and industry.

What are the key skills and qualifications needed to thrive in the Protein Scientist position, and why are they important?

To thrive as a Protein Scientist, you need a solid background in biochemistry, molecular biology, and protein expression and purification, typically supported by a relevant advanced degree such as a master's or Ph.D. Proficiency in laboratory techniques like chromatography, mass spectrometry, and familiarity with analytical software and LIMS (Laboratory Information Management Systems) is crucial. Strong problem-solving skills, meticulous attention to detail, and effective communication set outstanding candidates apart. Mastering both technical and soft skills ensures successful research outcomes, efficient teamwork, and innovation in this rapidly evolving scientific field.

What does a typical day look like for a Protein Scientist?

A typical day for a Protein Scientist often involves designing and conducting experiments to express, purify, and characterize proteins, as well as analyzing data using specialized software tools. You may spend time preparing samples, running laboratory equipment, and collaborating closely with team members across research and development, quality control, or bioprocessing departments. Documentation, presenting findings in meetings, and troubleshooting technical challenges are integral parts of the role. This dynamic environment offers the chance to contribute to novel discoveries and translates scientific breakthroughs into real-world applications.
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Protein Scientist jobs near you
Infographic showing various Protein Scientist job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $90,793 per year, or $43.7 per hour.
Platform Scientist: Protein Evolution

Platform Scientist: Protein Evolution

Arcadia Science

Emeryville, CA • On-site

$130K - $180K/yr

Full-time

Posted 7 days ago

Job description

A Bit About Us:
We're Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and engage with the broader scientific community.
The Opportunity:
Arcadia is studying biology with evolution as our guide. Our tools, methods, and frameworks probe the tree of life to identify innovations, novelties, and organisms that accelerate our basic and translational research. We're seeking a scientist with deep experience in protein evolution to substantially expand our platform.
The Platform Scientist will be part of a collaborative team developing approaches to investigate protein evolution in an integrative way, considering amino acid sequences, protein structures, and protein functional variation. Scientists in this role will develop novel approaches to map and predict protein biology over macroevolutionary timescales. These contributions will be instrumental in developing new tools, validating existing tools, testing novel hypotheses, identifying knowledge and dataset gaps, and driving the creation of new computational approaches for studying protein evolution at Arcadia.
Top candidates are inventive scientists with deep experience addressing evolutionary questions related to protein characteristics to unlock novel insights. They're excited to explore new and challenging datasets, familiar with developing novel analysis pipelines, and thrive in collaborative, open research environments. Enthusiasm and participation in open science are also required as we routinely share our findings via our open-source pubs.
Key Responsibilities:
  • Produce and analyse workflows to interrogate and integrate protein information across non-model clades.
    • >
  • Identify existing data gaps and help develop strategies to address these to better capture and study protein variation across scales.
    • >
  • Develop approaches to infer evolutionary shifts in protein composition, structure, and function over time.
    • >
  • Conceptualize and prototype novel computational tools using protein information to expand Arcadia's organism and target selection capabilities.
    • >
  • Troubleshoot computational challenges independently and creatively.
    • >
  • Collaborate with cross-disciplinary teams to validate computational tools, contribute to shared research goals, and accelerate broader scientific efforts.
    • >
  • Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work.
    • >

Qualifications:
  • Ph.D. or equivalent experience in Evolutionary Biology, Molecular Biology, Computational Biology, or a related field.
    • >
  • At least 1 year of full-time relevant scientific experience post-PhD.
    • >
  • Demonstrated expertise in analyzing protein features across biological e.g., amino acid sequence, protein structure, protein function, and evolutionary scales.
    • >
  • Demonstrated expertise in the inference of evolutionary processes.
    • >
  • Comfort working with data from non-model organisms and ideally across clades.
    • >
  • Experience with a range of computational biology approaches, including the analysis of genomic data, phylogenetics, and protein structures (experience with protein structural inference, and/or protein language models is a plus).
    • >
  • Familiarity with data analysis using tools like Python or R.
    • >
  • Ability to align with the team to achieve organization-wide goals and organize effective collaborations.
    • >
  • An excellent verbal and written science communicator for both general and technical audiences.
    • >

$130,000 - $180,000 a year
Successful applicants can expect to be compensated between $130,000-$180,000 with benefits and a competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters.
Application Process:
Interested applicants should send a resume and a one-page cover letter that address their interest and qualifications for the position. When applying, be sure to answer all questions found within the online portal.
Arcadia Science is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work.
Please note that an offer of employment from Arcadia is contingent upon the successful clearance of a reference and background check.

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