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Computational Biophysics Jobs in Indiana (NOW HIRING)

micro1 AI

Senior Scientific Reviewer - Physics

Carmel, IN · On-site +1

$80 - $150/hr

... Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology ... modeling and computational validation. * Demonstrated skill in reviewing the work of others ...

Elanco

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

... biophysical, and cellular approaches-to identify novel chemical and biological starting points ... Collaborate with Computational Sciences to develop machine learning models for hit expansion and ...

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Computational Biophysics information

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$38

$52

$70

How much do computational biophysics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for computational biophysics in Indiana is $52.27, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $70.00 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 Indiana?

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

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

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

Computational Biophysics jobs near you
Infographic showing various Computational Biophysics job openings in Indiana as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $108,716 per year, or $52.3 per hour.

AI Training Specialist - Physics

micro1 AI

Indianapolis, IN • On-site, Remote

$80 - $150/hr

Part-time

Posted 13 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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