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How much do remote computational biophysics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote computational biophysics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Remote Computational Biophysics vs Remote Structural Biologist?

AspectRemote Computational BiophysicsRemote Structural Biologist
Required CredentialsAdvanced degrees in biophysics, computational biology, or related fieldsDegrees in biology, biochemistry, or structural biology
Work EnvironmentPrimarily computer-based, using modeling and simulation toolsLab and computer work, focusing on structural analysis
Industry UsagePharmaceutical, biotech, academia

Remote Computational Biophysics involves using computational methods to study biological systems, often requiring programming skills and advanced degrees. Remote Structural Biologists focus on analyzing and modeling biological structures, combining lab work with computational analysis. Both roles are common in biotech and pharma industries, but they differ mainly in their focus and methods.

What is remote computational biophysics?

Remote computational biophysics is a field where scientists use computational methods and simulations to study biological systems, such as proteins and cells, while working from locations outside of traditional labs or offices. This work often involves modeling molecular structures, analyzing large datasets, and running simulations using specialized software. The 'remote' aspect means that all tasks are performed using remote access to computers and collaboration tools, enabling professionals to contribute to research from anywhere. This approach is increasingly popular due to advances in cloud computing and secure data-sharing platforms.

How do remote computational biophysicists typically collaborate with experimental scientists and other team members?

Remote computational biophysicists frequently work in multidisciplinary teams, collaborating closely with experimental scientists, software developers, and data analysts. Communication is usually facilitated through regular virtual meetings, shared project management tools, and collaborative platforms for sharing simulation data and results. Building strong communication skills is essential, as clear documentation and timely updates help bridge the gap between computational predictions and experimental findings. Team members often participate in joint problem-solving sessions and may co-author research papers or grant proposals, fostering a collaborative and innovative work environment.

What are the key skills and qualifications needed to thrive as a remote computational biophysicist, and why are they important?

To thrive as a Remote Computational Biophysicist, you need a solid background in physics, biology, and mathematics, typically with a PhD or advanced degree in a related field. Expertise with molecular dynamics software (e.g., GROMACS, AMBER), programming languages like Python or C++, and experience using high-performance computing systems are essential. Strong problem-solving abilities, self-motivation, and effective virtual communication skills help you collaborate and innovate in a remote environment. These skills ensure accurate research, efficient use of computational resources, and successful teamwork despite geographical distance.
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Remote Computational Biophysics jobs near you
Infographic showing various Remote Computational Biophysics job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Physics Specialist - Remote

micro1 AI

Rochester, NY • Remote

$80 - $140/hr

Part-time

Posted 13 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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