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Computational Research Assistant Jobs in Michigan

micro1 AI

AI Training Specialist - Physics

Detroit, MI · On-site +1

$80 - $150/hr

Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ... modeling and computational validation. * Demonstrated skill in reviewing the work of others ...

micro1 AI

AI Training Specialist - Physics

Dearborn, MI · On-site +1

$80 - $150/hr

Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ... modeling and computational validation. * Demonstrated skill in reviewing the work of others ...

micro1 AI

Senior Scientific Reviewer - Physics

Warren, MI · On-site +1

$80 - $150/hr

Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ... modeling and computational validation. * Demonstrated skill in reviewing the work of others ...

University of Michigan

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

Thoughtful use of coding assistants and agents, such as Claude Code or Codex, combined with careful ... Research contributions, open-source software, technical leadership, or publications at leading ...

Kla

HPC Storage Engineer

Ann Arbor, MI

$105K - $180K/yr

The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, highperformance ... Support new product introduction (NPI), production ramps, and component changes * Assist with ...

Orbotech

HPC Storage Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

The Computational Solutions Infrastructure Group (CSIG) at KLA builds scalable, highperformance ... Support new product introduction (NPI), production ramps, and component changes * Assist with ...

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Computational Research Assistant information

What is a computational research assistant?

Computational Research Assistants are professionals who support scientific and academic research projects by applying computational methods, programming, and data analysis techniques. They often work with researchers to develop models, run simulations, analyze large datasets, and assist in the interpretation of results. Their work is essential in fields such as biology, physics, social sciences, and engineering, where complex data and computational tools are required to conduct research. Typically, they have strong skills in programming languages like Python, R, or MATLAB, and possess a background in the relevant scientific discipline.

How does a computational research assistant typically collaborate with principal investigators and other team members during a research project?

Computational Research Assistants often work closely with principal investigators (PIs), postdoctoral researchers, and other team members to design, implement, and analyze computational experiments. They are responsible for developing scripts, managing datasets, and ensuring the reproducibility of results. Regular meetings and progress updates are common, and assistants are expected to communicate findings clearly and troubleshoot technical issues collaboratively. This role requires both independent initiative and a strong team-oriented approach to meet research objectives efficiently.

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

To thrive as a Computational Research Assistant, you need strong analytical skills, proficiency in programming languages like Python or R, and a background in mathematics, statistics, or computer science. Familiarity with data analysis tools, version control systems (such as Git), and experience using high-performance computing environments or relevant software is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate with research teams and interpret complex results. These skills and qualities are crucial for producing accurate, reliable research outcomes and supporting innovative scientific investigations.

What is the difference between Computational Research Assistant vs Data Analyst?

AspectComputational Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageAcademic and research institutions, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonYesNo

The Computational Research Assistant and Data Analyst roles share similarities in data handling and analytical skills, but differ mainly in their focus. Computational Research Assistants typically work in research settings, supporting scientific projects with programming and modeling, while Data Analysts focus on interpreting data to inform business decisions. Both roles require strong technical skills and relevant education, but their work environments and primary objectives differ.

What are popular job titles related to Computational Research Assistant jobs in Michigan?

For Computational Research Assistant jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Computational Research Assistant jobs in Michigan look for?

The top searched job categories for Computational Research Assistant jobs in Michigan are:

What cities in Michigan are hiring for Computational Research Assistant jobs?

Cities in Michigan with the most Computational Research Assistant job openings:

Computational Research Assistant jobs near you
Infographic showing various Computational Research Assistant job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Physics Content Evaluator (LaTeX/Python)

Grand Rapids, MI • On-site, Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $150/hr

Part-time

Posted 22 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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