ZipRecruiter

Log In

1

Protein Biophysics Jobs (NOW HIRING)

Astera

General Prism 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 ...

Amgen

Scientist - Protein Biochemist

Thousand Oaks, CA · On-site

Use biochemical and biophysical techniques (e.g., SDS-PAGE, Western blot, spectrophotometry, SEC-MALS, SPR, mass spectrometry) to assess protein quality and stability. Collaborate with team members ...

previous pagenext page

Showing results 21-40

All JobsScience JobsProtein Biophysics Jobs

Protein Biophysics information

See salary details

$11

$42

$80

How much do protein biophysics jobs pay per hour?

As of Sep 6, 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 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 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 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.

Are protein biophysicists in demand?

Protein biophysicists are in demand in research institutions, pharmaceutical companies, and biotech firms due to their expertise in understanding protein structure and dynamics. Skills in techniques like spectroscopy, microscopy, and computational modeling increase employability, and demand is expected to grow with advances in drug development and personalized medicine.

Do protein biophysicists make good money?

Protein biophysicists typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $60,000 annually, while experienced professionals or those in senior roles can earn over $100,000. Skills in laboratory techniques, data analysis, and relevant certifications can influence earning potential.

Who hires protein biophysicists?

Protein biophysicists are typically hired by pharmaceutical companies, biotechnology firms, research institutions, and academic laboratories. They work in environments that require expertise in techniques like spectroscopy, microscopy, and molecular modeling to study protein structure and function.
More about Protein Biophysics jobs

What cities are hiring for Protein Biophysics jobs?

Cities with the most Protein Biophysics job openings:

What states have the most Protein Biophysics jobs?

States with the most job openings for Protein Biophysics jobs include:

What job categories do people searching Protein Biophysics jobs look for?

The top searched job categories for Protein Biophysics jobs are:

Protein Biophysics jobs near you
Infographic showing various Protein Biophysics job openings in the United States as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $89,001 per year, or $42.8 per hour.

Computational Biology & Bioinformatics Lead

Institute for Protein Innovation

Boston, MA • On-site

$200K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

The Institute for Protein Innovation (IPI)is a nonprofit research organization advancing protein science to accelerate research and improve human health. Founded in 2017 and located in Boston's Longwood Medical Area, the Institute's three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
With a significant endowment, IPI uniquely combines the freedom of academia with the high throughput and scale of industry to take on transformative projects. IPI has built a robust platform for discovering, developing, and distributing synthetic antibodies and other protein tools to share with the biomedical community. The Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond.
Purpose
Computational Biology & Bioinformatics Lead will help grow IPI's computational protein science team and be responsible for the machine learning and data systems that support work across the Institute. This includes the following functional teams: antibody and antigen discovery, protein characterization, neuroscience, lab automation and lab operations.
This role is responsible for training and applying foundation models for protein structure prediction and design, building models that predict biophysical properties from sequence and structure and turning large multimodal biological datasets into tools and portals that can be effectively utilized across the Institute.
This position provides a combination of hands-on technical work with team leadership skills to fulfill responsibilities and achieve goals.
The position will collaborate closely with the Associate Director & Program Manager of the Antibody Platform and reports to the Senior Director of the Antibody Platform.
Primary Responsibilities
  1. Train, fine-tune, and benchmark foundation models for protein folding and design, including structure prediction models and generative models for de novo binder and antibody design, and integrate these models for routine use in antigen and antibody discovery projects.
  2. Build and validate models that predict biophysical properties such as stability, aggregation, expression, binding affinity, and developability, using multimodal data across sequence, structure, next generation sequencing, proteomics, and assay results.
  3. Run in silico binder and antibody design campaigns and pair them with experimental rounds so predictions are tested and the results feed back into the models.
  4. Develop pipelines and platforms for in vitro antibody discovery data, protein biophysical characterization, proteomics, and next generation sequencing analysis.
  5. Build and maintain web portals and databases for large biological datasets, including IPI's external antigen and antibody catalogs (for example OpenAntigens) and internal research databases.
  6. Work with teams and groups across the Institute to design experiments, interpret and analyze results, and effectively integrate computational tools into established team workflows.
  7. Manage cloud and high-performance computing environments, including GPU infrastructure for model training and large-scale analysis.
  8. Lead and mentor a small team of computational biologists and bioinformaticians.
  9. Effectively present computational analyses to technical and non-technical audiences and contribute to publications, patents, and products.
  10. Establish standards for data management, version control, reproducibility, and MLOps in the group.
Qualifications
Required
  • PhD in computational biology, bioinformatics, biophysics, machine learning, or a related field, with a strong background in protein science or biochemistry.
  • 5 or more years of relevant experience, including experience leading or mentoring computational staff or serving as a technical lead. Direct experience managing a team of two to four people is a plus.
  • Strong Python and hands-on experience with deep learning frameworks such as PyTorch.
  • Experience developing, modifying, and applying protein machine learning models for structure prediction and design.
  • Experience building or training models on multimodal biological data, with a track record shown through publications, patents, or products.
  • Experience with de novo protein and antibody design and validation cycles.

Preferred. (strong candidates will bring several of these, but not all are required)
  • Experience with next generation sequencing analysis.
  • Experience building data portals, APIs, or databases for large biological datasets.
  • Experience with cloud computing and high-performance computing or GPU environments.
  • Familiarity with antibody discovery, proteomics, or protein biophysical characterization assays.
  • Experience integrating computational predictions with wet-lab workflows, including LIMS or ELN systems.

$200,000 - $240,000 a year
IPI provides competitive compensation and an excellent benefits package to support physical, mental and financial health. Highlights of benefits include:
• 100% employer-paid medical, dental, and vision plans
• Flexible spending accounts and a healthcare reimbursement account
• 401(k) plan with generous 6% employer match - immediately 100% vested
• Generous PTO package
• Commuter and parking reimbursement
• Career development opportunities
For more information, visit proteininnovation.org or follow us on social media, @ipiproteins. IPI is an independent 501(c)(3) nonprofit research organization and an equal-opportunity employer. The Institute celebrates diversity and is committed to creating an inclusive environment for all employees. Please be advised that you will be required to provide evidence of your identity and eligibility for employment in the United States. IPI will not guarantee sponsorship of foreign nationals and retains complete discretion regarding providing sponsorship to any prospective or existing employee at time of hire or at any time in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply