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Materials Informatics Jobs in Texas (NOW HIRING)

MP Materials

Engineer IV, Magnetics

Fort Worth, TX · On-site

$110 - $160/hr

Computational methods are expected to include thermodynamic modeling, materials informatics, machine learning, atomistic simulations, molten metal fluid dynamics, image-based microstructure analysis ...

Tamus

Clinical Informatics Specialist

Dallas, TX · On-site

$100K - $120K/yr

A cover letter and resume will assist us in our review of your application materials. These can be ... Degree in Health Informatics, Information Systems, Public Health, or related field. * Five (5)+ ...

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Materials Informatics information

See Texas salary details

$39.6K

$79.8K

$116.5K

How much do materials informatics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for materials informatics in Texas is $79,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $93,200.00 per year, depending on experience, location, and employer.

What is a materials informatics?

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 key skills and qualifications needed to thrive in materials informatics, 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 are the most commonly searched types of Materials Informatics jobs in Texas?

The most popular types of Materials Informatics jobs in Texas are:

What are popular job titles related to Materials Informatics jobs in Texas?

For Materials Informatics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Materials Informatics jobs in Texas look for?

The top searched job categories for Materials Informatics jobs in Texas are:

What cities in Texas are hiring for Materials Informatics jobs?

Cities in Texas with the most Materials Informatics job openings:

Materials Informatics jobs near you
Infographic showing various Materials Informatics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $79,758 per year, or $38.3 per hour.

Materials Data Scientist / Scientific Software Developer

Enthought

Austin, TX • On-site

Full-time

Posted 23 days ago

Job description

We are hiring a Materials Data Scientist / Scientific Software Developer to join our client-facing solution delivery team. Working agent-first, you will pair deep materials and chemistry expertise with agentic AI coding tools to help industrial materials and chemical researchers make better, faster R&D decisions - building data-driven models, AI-based decision-support tools, and analysis pipelines.
Key Responsibilities
  • Design end-to-end materials informatics solutions - apply deep knowledge of materials science, chemistry, and machine learning to translate client R&D problems into architectures spanning data, models, and user-facing applications.
  • Work agent-first - use AI coding assistants and autonomous coding agents as your default way to explore data, prototype models, build software, write tests, and produce documentation, compressing the path from research question to working solution.
  • Direct AI agents like a technical lead - decompose materials and chemistry problems into well-scoped tasks, give agents the domain context and physical constraints they need, and iterate toward correct, defensible results.
  • Solve complex research and product-development problems in close collaboration with client researchers and business leaders.
  • Build data-driven models, AI-based decision-support tools, and automated analysis pipelines, and assemble them into web-based solutions involving GUIs, 2D and 3D graphics, and cloud computing.
  • Design AI-enabled and agentic capabilities into client solutions where they add value - including retrieval over materials data - held to the same rigor as any other component.
  • Apply judgment about where AI and generative approaches fit and where they don't, especially given the small, sparse, and noisy datasets typical of materials R&D.
  • Take part in collaborative development practices - code review, architecture reviews, sprint planning, retrospectives, and daily standups - and interface directly with clients to define, demonstrate, and refine solutions.
  • Handle client data and intellectual property responsibly, using AI tools only in approved, secure configurations.

What We Offer
  • Meaningful impact - your work directly advances scientific breakthroughs, from accelerating drug discovery to developing sustainable materials.
  • A front-row seat to agentic AI - work at an automation-first company where every role directs AI tools, and help define how the industry puts them to work.
  • World-class colleagues - collaborate with some of the smartest, kindest scientists and engineers around.
  • Continuous learning - access to Enthought's training programs in Python, machine learning, and scientific computing.
  • A global, collaborative culture across our Austin, Cambridge, and Tokyo offices.
  • Flexible hybrid work based out of our Austin office.
  • Competitive compensation and benefits.

Who Thrives Here
Everyone at Enthought shares a common set of traits: exceptional integrity, analytic intelligence, a sense of urgency, the ability to simplify the complex, openness in communication, empathy for people, and endurance. If you are endlessly curious, take full ownership of your work, and are excited to help shape how science gets done in the era of agentic AI, you will feel at home here.
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