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Entry Level Materials Informatics Scientist Jobs

... scientific data management and laboratory automation projects. This is a great entry level ... The Informatics Associate position requires a willingness to learn and the desire to exceed ...

$110 - $160/hr

Computational methods are expected to include thermodynamic modeling, materials informatics ... S. or Ph.D. in Materials Science & Engineering, Metallurgy, Physics, or related field.

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Entry Level Materials Informatics Scientist information

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$42.5K

$98.4K

$166.5K

How much do entry level materials informatics scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for entry level materials informatics scientist in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Materials Informatics Scientist jobs?

The most popular types of Materials Informatics Scientist jobs are:

Infographic showing various Entry Level Materials Informatics Scientist job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 13% 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 $98,409 per year, or $47.3 per hour.

Materials Science Ai Engineer

Santa Clara, CA • On-site

Tranzeal Incorporated
Business Management Consulting • 51 - 200 employees

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Tranzeal Incorporated is a company focused on materials science and AI applications. They are seeking a Materials Science AI Engineer to design, develop, and deploy AI and ML models to address material physics challenges and enhance materials informatics initiatives.
Responsibilities:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
• Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
• Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS).
• Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
• Document code, workflows, and best practices to support reproducible research.
• Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Qualifications:
Required:
• PhD (Material Science or Machine learning preferred)
• Strong proficiency in programming languages like Python and C++.
• Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with data cleansing, preprocessing, and feature engineering
Preferred:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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About Tranzeal

Sourced by ZipRecruiter

Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

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