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Materials Informatics Jobs in Ohio (NOW HIRING)

Alberta Health Services

$152K/yr

The Contractor, in the role of Site Medical Informatics Lead (SMIL), will collaborate closely with ... Create and disseminate clear and concise communication materials to keep staff informed about ...

Festo USA

Logistics Systems Specialist

Mason, OH · On-site

Required : • Successfully completed degree in business informatics, computer science or ... material flow computers, PLC) desirable • Knowledge of SAP is an advantage • German knowledge ...

New

Varsity Tutors

Data Science Tutor

Akron, OH · Remote

$40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

Data Science Tutor

Cleveland, OH · Remote

$40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

Data Science Tutor

Cincinnati, OH · Remote

$40/hr

... are informatics. * Curriculum Awareness & Adaptive Instruction: Familiar with data science ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

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Materials Informatics information

See Ohio salary details

$40.4K

$81.4K

$118.8K

How much do materials informatics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for materials informatics in Ohio is $81,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $95,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Materials Informatics position, and why are they important?

To thrive in Materials Informatics, you need a strong background in materials science combined with expertise in data analysis, machine learning, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages such as Python, data visualization tools, scientific databases, and materials-specific simulation software is essential. Strong problem-solving abilities, clear communication, and the ability to work collaboratively across interdisciplinary teams are valuable soft skills for this role. These competencies are crucial for transforming complex materials data into actionable insights, accelerating materials discovery and innovation.

What is a Materials Informatics job?

A Materials Informatics job involves using data science, machine learning, and computational techniques to analyze and predict material properties, accelerating material discovery and optimization. Professionals in this field work at the intersection of materials science and informatics, leveraging large datasets and models to guide experiments and improve material performance. Common responsibilities include database management, algorithm development, and collaboration with researchers to interpret results and apply insights to real-world applications.

What are typical daily responsibilities for someone working in Materials Informatics?

Professionals in Materials Informatics commonly spend their days analyzing large-scale experimental and simulation data, developing and testing machine learning models, and collaborating closely with materials scientists, engineers, and software developers. They are often involved in designing data pipelines, automating analysis workflows, cleaning and curating materials datasets, and presenting their findings to both technical and non-technical stakeholders. Regular tasks may also include documenting methodologies, publishing research outcomes, and participating in team meetings to align projects with organizational goals. By working at the intersection of data science and materials research, they help accelerate the discovery and development of new materials.

What are the most commonly searched types of Materials Informatics jobs in Ohio? The most popular types of Materials Informatics jobs in Ohio are:
What are popular job titles related to Materials Informatics jobs in Ohio? For Materials Informatics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Materials Informatics jobs in Ohio look for? The top searched job categories for Materials Informatics jobs in Ohio are:
Materials Informatics jobs near you
Infographic showing various Materials Informatics job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,388 per year, or $39.1 per hour.
Materials Informatics Research Scientist

Materials Informatics Research Scientist

Riverside Research

Dayton, OH

$130K - $220K/yr

Full-time

Posted 2 days ago

Job description

Riverside Overview

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

Riverside Research is seeking a highly skilled and innovative Materials Informatics Research Scientist to join our advanced materials team. The successful candidate will utilize high-performance computing (HPC) and data-driven approaches to accelerate the discovery, design, and optimization of advanced composite materials. Research, develop, test, prototype, demonstrate and transition HPC and data-driven technologies that support the performance prediction of advanced composites materials in aerospace. This role involves working closely with interdisciplinary teams to apply computational methods and data analytics to solve complex material science problems.

Responsibilities

  • Lead the technical direction with government and team, and mentor junior/mid-level staff.
  • Develop and implement high-performance computing models and simulations to study the behavior and performance of advanced composite materials.
  • Utilize data-driven techniques, including machine learning and artificial intelligence to analyze large datasets and extract meaningful insights for material design.
  • Collaborate with material scientists, engineers, and data scientists to integrate computational and experimental data for comprehensive material understanding.
  • Perform multi-scale modeling and simulation to link microstructural features with macroscopic properties.
  • Design and execute computational experiments to predict material properties and guide the development of new composite materials.
  • Analyze simulation and experimental data to validate model and improve their predicative accuracy.
  • Prepare technical reports, presentations, and publications to communicate research findings.

Qualifications

Required Qualifications:

  • Bachelor’s degree in materials science, computational science, electrical engineering, or a related field with a focus on high-performance computing and data-driven research with 8 years of experience or 6 years with MS or 3 years with PhD.
  • Must be eligible to obtain a Top Secret security clearance.
  • 5+ years of experience in computational modeling and simulation of composite materials.
  • Proven experience leading a technical project and team.
  • Strong knowledge of high-performance computing platforms and software, such as MPI, OpenMP. CUDA, and related tools.
  • Proficiency in data analytics, machine learning, and artificial intelligence techniques.
  • Experience with multi-scale modeling and integration of different simulation methods.
  • Excellent analytical and problem-solving skills with the ability to interpret complex data.
  • Experience in collaborative research environment, working effectively with cross-functional teams.

Desired Qualifications:

  • Experience in the aerospace, automotive, or renewable energy industries.
  • Familiarity with materials characterization techniques and their integration with computational models.
  • Experience with grant writing and securing funding for research projects.
  • Capability to develop projects using a mixture of python, MATLAB, C, and data processing languages.

Global Comp

$130,000 - $220,000 This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.

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