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How much do computational biophysics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for computational biophysics in Texas is $51.17, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $68.51 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a computational biophysicist?

To excel in Computational Biophysics, you generally need advanced knowledge in physics, biology, and mathematics, with a graduate degree (often a Ph.D.) in a related field. Expertise in scientific programming languages (such as Python, C++, or MATLAB), experience with molecular modeling software (e.g., GROMACS, NAMD), and familiarity with high-performance computing environments are essential. Strong analytical thinking, attention to detail, and effective collaboration skills distinguish top performers. These competencies enable professionals to develop and interpret complex simulations, solve biological problems, and contribute significantly to interdisciplinary research teams.

What is a computational biophysicist?

A Computational Biophysics job involves using theoretical models, simulations, and computational tools to study biological systems at a molecular or biophysical level. Professionals in this field apply physics, mathematics, and computer science to analyze biomolecular structures, dynamics, and interactions. They work in academia, pharmaceutical companies, or biotech industries, contributing to drug discovery, protein modeling, and materials science. Strong skills in programming, statistical analysis, and molecular dynamics simulations are essential.

What do computational biophysicists do?

Computational Biophysicists are often engaged in projects such as simulating molecular dynamics, investigating protein folding, drug binding, or membrane behavior, and developing models to understand biological systems at the atomic or molecular level. They frequently collaborate with experimental scientists to interpret data and validate computational predictions, making teamwork and communication skills vital. Typical daily tasks may include running large-scale simulations, analyzing data, writing code for custom analysis, and preparing reports or scientific publications. This role offers diverse challenges and opportunities to contribute to advancements in areas like drug discovery, structural biology, and materials science.

What are popular job titles related to Computational Biophysics jobs in Texas?

For Computational Biophysics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computational Biophysics jobs in Texas look for?

The top searched job categories for Computational Biophysics jobs in Texas are:

Computational Biophysics jobs near you
Infographic showing various Computational Biophysics job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $106,441 per year, or $51.2 per hour.

Computational Physics Specialist - Remote

micro1 AI

Dallas, TX • Remote

$80 - $140/hr

Part-time

Posted 12 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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