Materials Informatics Scientist: Generative AI Lead

Jobtailor; Plymouth (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a highly qualified researcher to lead generative AI and physics-informed ML initiatives across product and materials development. You will develop data-driven models to accelerate discovery of new materials and processes for sustainable mobility solutions, collaborating with global teams and presenting findings to executive audiences.

Ideal candidates hold a PhD with 3+ years in computational materials science, with strong programming skills in Python/Julia/C/C++, and

Qualifications

• PhD or equivalent in materials science, chemistry, chemical engineering, data science, CS, physics, or related field.
• 3+ years of experience in computational methods for material and product design.
• Strong knowledge of structure–property relationships and materials characterization.
• Experience with cheminformatics, materials informatics, Generative AI, ML tools for simulations.
• Proficiency in Python, Julia, C/C++, plus SQL/MySQL/MongoDB/Flask/Azure or other cloud tech.
• Ability to work independently and in a team.
• Strong communication and stakeholder engagement.
• Willingness to travel is a plus.
• Excellent analytical, problem solving, and critical thinking.
• Ability to manage multiple projects in a fast-paced, globally matrixed environment.

Responsibilities

• Lead activities in generative AI and physics-informed ML for product, formulation, material/process discovery and design.
• Develop advanced data-driven and physics-based models to guide development of products, materials, and processes.
• Analyze and interpret materials data using advanced statistics and data mining techniques.
• Propose, execute and defend project concepts.
• Collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups.
• Identify and prioritize promising materials candidates for further investigation.
• Work with internal and external experts to develop high business impact solutions.
• Communicate results through reports and presentations to technical and non-technical audiences, including C level.
• Collaborate with materials scientists, engineers, and researchers across geographic locations.
• Collaborate with industry or academic specialists to apply results and develop new techniques.

Skills

Generative AI

Physics-informed ML

Python

C/C++

Julia

Mathematical modeling

Data mining

Statistical analysis

Experiment planning

Project management

Communication

Education

PhD in Materials Science

Tools

Python

Julia

C/C++

SQL

MySQL

MongoDB

Flask

Azure

Cloud Technologies

Machine Learning Tools

Job description

Jobtailor is seeking a highly qualified researcher to lead generative AI and physics-informed ML initiatives across product and materials development. You will develop data-driven models to accelerate discovery of new materials and processes for sustainable mobility solutions, collaborating with global teams and presenting findings to executive audiences.

Ideal candidates hold a PhD with 3+ years in computational materials science, with strong programming skills in Python/Julia/C/C++, and