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Computational Physics Jobs in Indiana (NOW HIRING)

Aptiv

Senior RF Design Engineer

Carmel, IN

PhD in Electrical Engineering or Physics. * 5+ years of experience in antenna design. * Expert understanding of electromagnetics and computational methods. * Design experience in microwave passive ...

New

Indiana University

Postdoctoral Fellow

Bloomington, IN · On-site

$45K - $61K/yr

... computational approaches to the strong interaction. Possible directions include the extraction and ... IU Physics Department also maintains strong ties to leading hadronic and nuclear physics ...

Varsity Tutors

Applied Mathematics Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Varsity Tutors

Applied Mathematics Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

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Computational Physics information

See Indiana salary details

$136K

$161.1K

$183.7K

How much do computational physics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computational physics in Indiana is $161,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,400.00 and $173,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by computational physicists when working on interdisciplinary projects?

Computational physicists often collaborate with researchers from fields like engineering, chemistry, or biology, which can introduce challenges related to differing terminologies, methodologies, and priorities. Adapting complex physics models to suit the needs and constraints of other disciplines may require significant adjustments and clear communication. Additionally, integrating diverse data types and software tools can be technically demanding, but overcoming these challenges helps foster innovation and leads to broader scientific impact.

Is computational physics in demand?

Computational physics is in demand across industries such as research, aerospace, and finance, where advanced modeling and simulation skills are valued. Professionals in this field often work with programming languages like Python or C++ and may require a strong background in physics and mathematics. Job growth is driven by increasing reliance on data analysis and high-performance computing.

Who hires computational physicists?

Computational physicists are hired by research institutions, government laboratories, universities, and private industry companies involved in scientific research, technology development, and data analysis. They often work in environments that require strong programming skills and knowledge of physics, using tools like simulation software and high-performance computing systems.

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

To thrive as a Computational Physicist, you need a solid background in physics, advanced mathematics, and computer science, typically supported by a relevant degree (such as a PhD or MSc). Proficiency in programming languages like Python, C++, or Fortran, as well as experience with simulation software and high-performance computing, is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and present complex findings clearly. These skills enable accurate modeling, efficient data analysis, and successful teamwork on complex scientific projects.

What can you do with a computational physics degree?

A computational physics degree prepares individuals for roles in research, data analysis, simulation development, and modeling across industries such as aerospace, energy, finance, and technology. Graduates often work as physicists, data scientists, software developers, or in technical consulting, utilizing programming skills and scientific knowledge to solve complex problems. The degree also provides a foundation for advanced study or specialized certifications in computational methods and software tools.

What is the difference between Computational Physics vs Data Scientist?

AspectComputational PhysicsData Scientist
Required CredentialsPhysics degree, computational skills, programmingStatistics, programming, data analysis
Work EnvironmentResearch labs, academia, scientific institutionsTech companies, finance, healthcare
Industry UsageScientific research, simulations, modelingBusiness insights, predictive analytics
Common Search/ComparisonComputational Physics vs Data Scientist

Computational Physics focuses on applying computational methods to solve physical problems, often in research or academia. Data Scientists analyze large datasets to extract insights across various industries. While both roles require programming skills, their applications and work environments differ significantly.

What is computational physics?

Computational physics is a branch of physics that uses computational methods and algorithms to solve complex physical problems that are difficult or impossible to address analytically. It combines physics, computer science, and applied mathematics to simulate physical systems, analyze data, and predict the behavior of matter and energy. Computational physicists often develop and use software to model phenomena such as quantum mechanics, fluid dynamics, material properties, and astrophysics. This field is essential for advancing scientific research in areas where experiments are too costly, dangerous, or impractical.
What are popular job titles related to Computational Physics jobs in Indiana? For Computational Physics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Computational Physics jobs in Indiana look for? The top searched job categories for Computational Physics jobs in Indiana are:
Computational Physics jobs near you
Infographic showing various Computational Physics job openings in Indiana as of August 2026, with employment types broken down into 67% Full Time, 30% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $161,100 per year, or $77.5 per hour.

Research Scientist - Computational Biologist

Elanco

Indianapolis, IN • Hybrid

Full-time

Retirement, PTO

Posted 2 days ago

New

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

51st of 86 rated pharmaceutical

Job description

At Elanco (NYSE: ELAN) - it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals' lives better makes life better - join our team today!

Your Role: Research Scientist - Computational Biologist

As a Research Scientist on our Discovery Research team, you will be at the forefront of Elanco's mission to deliver innovative biologics that improve animal health. You will leverage and develop state-of-the-art AI and structural modeling tools to predict, design, and optimize therapeutic antibodies and proteins. Partnering closely with our principal Computational Scientist and wet-lab teams, you will directly impact the speed and success of our pipeline, helping to create the next generation of animal health therapies. This role offers a unique opportunity to grow your skills in a rapidly evolving field while contributing to tangible, real-world outcomes.

Your Responsibilities:

  • Utilize and develop AI-driven tools (e.g., AlphaFold, Rosetta) to predict and design high-resolution structures of antibodies and other proteins, directly supporting our therapeutic biologics pipeline.

  • Apply generative AI and structural modeling techniques to design novel antibody and protein modalities from scratch, optimizing them for high-precision epitope targeting, affinity, and specificity.

  • Proactively identify and engineer out potential liabilities (e.g., aggregation, immunogenicity) and train novel structure-based ML architectures to enhance the developability of our biologic candidates.

  • Partner closely with wet-lab scientists to analyze experimental data, validate computational predictions, and rapidly iterate on designs to accelerate antibody selection and optimization.

  • Stay current with the evolving AI landscape by evaluating new tools, maintaining thorough documentation, and effectively communicating complex findings to cross-functional teams.

What You Need to Succeed (minimum qualifications):

  • Education: Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a related field.

  • Experience: 0-3 years of post-graduate experience applying computational methods to biological problems.

  • Top Skills: A strong foundation in structural bioinformatics and AI/ML modeling, with proficiency in a programming language like Python, and the communication skills to work effectively in a cross-functional scientific environment.

What will give you a strong edge (preferred qualifications):

  • Experience withde novoprotein design tools, such as diffusion models or physics-based approaches.

  • A track record of applying computational tools to solve biological problems, evidenced by publications or significant project contributions.

  • Familiarity with cloud computing environments (e.g., AWS, GCP) and MLOps principles.

  • Experience in antibody or protein engineering and a foundational understanding of immunology.

  • A proactive mindset with a passion for staying current with the rapidly evolving AI landscape and a motivation to test and evaluate new methodologies.

Additional Information:

  • Travel: Minimal

  • Location: Global Elanco Headquarters - Indianapolis, IN - Hybrid Work Environment

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks:

We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:

  • Multiple relocation packages

  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)

  • 8-week parental leave

  • 9 Employee Resource Groups

  • Annual bonus offering

  • Flexible work arrangements

  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against jobrelated criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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