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Protein Biophysics Jobs (NOW HIRING)

Proteos

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Principal Scientist - Biophysics

Kalamazoo, MI · On-site

$105K - $130K/yr

... protein reagents to the pharmaceutical and biotechnology industries since 2003. Based in Kalamazoo ... The biophysical analysis platform encompasses the following technologies. Candidates should have ...

Proteos

Be Seen First

Principal Scientist - Biophysics

Kalamazoo, MI · On-site

$105K - $130K/yr

... protein reagents to the pharmaceutical and biotechnology industries since 2003. Based in Kalamazoo ... The biophysical analysis platform encompasses the following technologies. Candidates should have ...

Astera

General DiffUSE Job Application

Emeryville, CA · On-site

$100K - $300K/yr

Macromolecular ensemble metrics Machine learning research for macromolecules and biophysics * Representation learning for protein dynamics * ML on raw experimental data rather than processed ...

Illumina, Inc.

Senior Scientist - Biophysics

San Diego, CA · On-site

$97.10K - $132.70K/yr

PhD in biophysics, bioengineering, biochemistry, protein chemistry or related field. * 0-5 years of post-PhD hands-on experience with DNA-related biophysics experiments, DNA processing enzymes, or ...

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How much do protein biophysics jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for protein biophysics in the United States is $42.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $50.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Protein Biophysicist, and why are they important?

To thrive as a Protein Biophysicist, you need a solid background in biology, chemistry, physics, and mathematics, typically with at least a master's or PhD in a related field. Familiarity with tools and techniques such as X-ray crystallography, NMR spectroscopy, mass spectrometry, and computational modeling software is essential. Strong analytical thinking, attention to detail, and effective collaboration and communication skills distinguish successful professionals in this role. These skills ensure accurate experimental design, data interpretation, and the ability to work efficiently within research teams to advance scientific understanding of protein structure and function.

What are some common challenges faced by professionals in Protein Biophysics, and how can they be addressed?

Protein biophysicists frequently encounter challenges such as interpreting complex experimental data, maintaining reproducibility in experiments, and managing interdisciplinary collaboration with chemists, biologists, and computational scientists. Staying current with rapidly evolving techniques, such as cryo-EM and single-molecule spectroscopy, is also essential. Addressing these challenges often involves continuous professional development, leveraging collaborative research environments, and utilizing advanced data analysis tools to ensure robust and accurate results.

What is protein biophysics?

Protein biophysics is a scientific discipline that studies the physical principles and mechanisms underlying the structure, function, dynamics, and interactions of proteins. Researchers in this field use techniques from physics, chemistry, and biology to understand how proteins fold, move, and perform their biological roles. Methods such as X-ray crystallography, nuclear magnetic resonance (NMR) spectroscopy, and cryo-electron microscopy are commonly used to investigate protein properties. This knowledge is essential for drug discovery, understanding diseases, and developing new biomaterials.

What is the difference between Protein Biophysics vs Structural Biologist?

AspectProtein BiophysicsStructural Biologist
Required CredentialsDegree in Biochemistry, Biophysics, or related field; often PhDDegree in Structural Biology, Biochemistry, or related; often PhD
Work EnvironmentResearch labs, biotech companies, academiaResearch labs, pharmaceutical companies, academia
Industry UsageStudying protein properties, interactions, dynamicsDetermining 3D structures of proteins, complexes
Common Search/ComparisonProtein Biophysics vs Structural Biologist

Protein Biophysics focuses on understanding the physical properties and behaviors of proteins, such as stability and interactions. Structural Biologists primarily determine the 3D structures of proteins to understand their function. While both roles require advanced degrees and work in research environments, Protein Biophysics emphasizes biophysical techniques, whereas Structural Biology centers on structural determination methods like X-ray crystallography and cryo-EM.

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Protein Biophysics jobs near you
Infographic showing various Protein Biophysics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 25% Full Time, 61% Part Time, 9% Contract, and 4% Nights. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $89,001 per year, or $42.8 per hour.
Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab

Postdoctoral Position in Jeffrey J. Gray's Computational Protein Structure and Design Lab

Johns Hopkins University

Baltimore, MD • On-site

$80K/yr

Full-time

Medical, Dental

Posted 8 days ago

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 200 frontline employees who took The Breakroom Quiz

217th of 864 rated healthcare providers

Job description

Description
Are you excited to explore a yet-to-be-solved problem at the heart of AI-based protein engineering? Join Jeffrey Gray's research lab to develop and mature some of the most in-demand research skills in academia and industry today.
New approaches in deep neural networks are revolutionizing the study of protein structure, but so far these advances have not solved the critical issues to be able to design new therapeutic antibodies from scratch. The Gray lab is a leader in the study of protein-protein interactions and computational modeling of antibodies, including emerging deep learning approaches. This position will allow you to learn the emerging deep learning approaches to proteins and antibodies and craft new machine learning approaches for antibody engineering, protein-protein docking, and carbohydrate modeling. We create new methods and collaborate with academics and industry to apply these methods to important biological problems and to therapeutics. You will be a part of a dynamic, collaborative, and inclusive research group.
  • Highly competitive salary (up to $80,000 stipend) goes far in affordable Baltimore.
  • Full benefits including health insurance (coverage for eye and dental insurance).
  • The Gray laboratory is part of the Rosetta Commons (Prof. Gray serves as Director), and so you will be able to participate in Rosetta Conferences, workshops, and outreach.
  • Johns Hopkins offers an unmatched environment for life sciences research, with a dynamic community in biomolecular engineering, biophysics, biochemistry, and medicine.
  • Lab alumni have advanced to positions in industry giants (Genentech, Merck, Pfizer, GSK), and successful recent startups (Generate Bio, Outpace Bio).
  • Initial appointment period of one year, with expectation of 2-4 years total.
  • State-of-the-art computing infrastructure (NVIDIA H100 and A100 GPUs and CPUs for seamless computing).
  • Supportive mentoring environment, with regular 1:1 meetings and Individual Development Plans every 6 months.

More information about the Gray lab at http://graylab.jhu.edu
Key responsibilities could include, but are not limited to, assisting in the following:
  • Review literature on biomolecular structure and design technologies and deep learning approaches.
  • Assess gaps in current tools.
  • Assess of emerging deep learning methods for application in biomolecular engineering.
  • Create of novel deep learning tools for biomolecular engineering, including assembling novel data sets, building new architectures, training and assessing models.
  • Critically assess of biomolecular designs using multiple deep learning tools, physics-based models, and structural analysis.
  • Plan collaboration with experimentalists, to best assess competing design strategies.
  • Write journal articles and presentations for sharing the outcomes.

Qualifications
  • PhD in Engineering, biophysics, computational biology, or related field
  • Experience with scientific algorithm development, protein biophysics or engineering, protein structure prediction and design.
  • Experience in solving complex scientific or engineering problems
  • Excellent writing and communication skills
  • Ability to work in teams and contribute to a supportive and collaborative work culture

Application Instructions
In Interfolio, applicants should upload a CV, a brief statement of purpose, a code sample, and 2-3 representative publications (preprints acceptable). The statement should state why the Gray lab is a good fit for your career trajectory. The code sample can be a file or a few files or a link (e.g. a Github repository) that demonstrates your coding level.
Applications will be considered until the positions are filled.

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