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Physics Data Analyst Jobs in Indiana (NOW HIRING)

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

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Physics Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do physics data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for physics data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A Physics Data Analyst can transition into data science at any age, including 40, as the field values skills like programming, statistical analysis, and problem-solving. Many professionals successfully switch careers later in life by gaining relevant certifications and experience, making age less of a barrier in data science roles.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and consulting tend to have the highest salaries, especially those with expertise in machine learning, statistical modeling, and programming languages like Python or R. Specializing in these industries and acquiring advanced certifications can lead to higher compensation levels.

What does a Physics Data Analyst do?

A Physics Data Analyst collects, processes, and interprets large sets of data generated from physics experiments or simulations. They use statistical methods, programming, and specialized software to extract meaningful insights and support scientific research. Their work often involves cleaning data, identifying trends, creating visualizations, and collaborating with physicists to draw conclusions that can advance understanding in areas such as particle physics, astrophysics, or materials science.

What are the key skills and qualifications needed to thrive as a Physics Data Analyst, and why are they important?

To thrive as a Physics Data Analyst, you need a solid background in physics, mathematics, and statistical analysis, often supported by a degree in physics or a related field. Proficiency with programming languages like Python or MATLAB, data visualization tools, and familiarity with statistical software and databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with diverse teams. These skills ensure accurate analysis, meaningful data-driven conclusions, and successful collaboration in research or industry environments.

What is the highest paid job in physics?

The highest paid jobs in physics often include roles such as physics research directors, senior physicists in industry, or specialized consultants, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in areas like quantum mechanics, materials science, or computational physics.

Is a physics degree worth it in 2026?

A physics degree for a Physics Data Analyst can be valuable due to strong analytical, problem-solving, and quantitative skills. The demand for data analysis roles is growing across industries, and a physics background can provide a solid foundation in data modeling and programming tools like Python or R. However, gaining practical experience and complementary skills such as data visualization or machine learning can enhance job prospects in 2026.

What is the difference between Physics Data Analyst vs Data Scientist?

AspectPhysics Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Physics, Data Analysis, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific organizations, industry R&DTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, aerospace, energyTech firms, finance, marketing
Common Search & ComparisonPhysics Data Analyst vs Data Scientist

The main difference between a Physics Data Analyst and a Data Scientist lies in their focus and industry. Physics Data Analysts typically work in research or scientific environments, applying physics principles to analyze data. Data Scientists have a broader scope, often working across industries like tech, finance, and healthcare, utilizing advanced statistical and machine learning techniques. Both roles require strong analytical skills, but their applications and work settings differ.

What are some common challenges Physics Data Analysts face when interpreting experimental data?

Physics Data Analysts often work with large, complex datasets that may contain noise or inconsistencies due to experimental limitations. One common challenge is accurately distinguishing between meaningful patterns and random fluctuations, which requires strong statistical knowledge and experience with data-cleaning techniques. Additionally, analysts must frequently collaborate with physicists and engineers to understand the context of the data and ensure proper interpretation, making strong communication skills important. Overcoming these challenges involves continually updating technical skills and staying current with best practices in both physics and data analysis.
What job categories do people searching Physics Data Analyst jobs in Indiana look for? The top searched job categories for Physics Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Physics Data Analyst jobs? Cities in Indiana with the most Physics Data Analyst job openings:
Post Doc Research Associate

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Posted yesterday


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 536 rated colleges and universities


Job description

Req Id: 35390
Job Title: Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Postdoctoral Research Associate - Data-Driven Physics, ML/AI, and Advanced Detector R&D
The High Energy Physics Group at Purdue University invites applications for a Postdoctoral Research Associate to join an interdisciplinary research program at the intersection of data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing.
The position is intended for an excellent and broadly interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate contributes to applied nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests.
Core responsibilities and research directions include:
  • Applied nuclear physics and spectroscopy, focusing on the analysis of data from photon spectrometer detectors recording nuclear collisions. A central component of this work is the development and application of machine-learning and AI techniques to identify weak, rare, or previously unknown nuclear transitions in complex spectral data.
  • Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms and quantum annealing for physics-driven optimization problems is also part of the research portfolio.
  • Detector R&D for future facilities, leveraging Purdue's infrastructure for detector development. The group operates a center of excellence for composite manufacturing and simulation for detector mechanics and cooling, as well as in-house facilities for the design, development, and construction of silicon detectors.

There is an optional opportunity to contribute a limited fraction of effort to research within the CMS experiment at CERN, particularly were expertise in ML/AI, data analysis, or detector-related topics can synergize with ongoing efforts.
The postdoctoral researcher will work in a collaborative environment, mentor graduate and undergraduate students as appropriate, and contribute to publications and future research proposals.
Qualifications
Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date)
Strong background in data analysis, computing, and scientific programming
Demonstrated ability to conduct independent research
Experience with machine learning / AI is highly desirable
Prior exposure to nuclear physics data, detector systems, or scientific instrumentation is an advantage but not required
Interest in interdisciplinary research spanning physics, computation, and advanced instrumentation
Appointment & Environment
Initial appointment for one year, renewable subject to performance and funding
Competitive salary and full benefits
Access to extensive computational, laboratory, and detector-development resources
A collaborative research environment with strong ties to national laboratories, international experiments, and interdisciplinary AI initiatives at Purdue
Application Process
The position is available starting immediately and applications will be considered until the position is filled. The appointment is initially for one year and renewable annually, subject to mutual satisfaction. The position will be based in West Lafayette, IN, although travel to other locations is expected for a number of short trips per year and/or extended periods of time.
Applications should include a curriculum vitae, a list of publications, a description of research interests (2 pages), and three letters of recommendation. Complete applications will be considered immediately. Please apply to link: https://careers.purdue.edu/job/Post-Doc-Research-Associate/35390-en_US/.
For information about the position, please contact Prof. Andreas Jung (anjung@purdue.edu ).

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