Support the development of a materials intelligence platform through data research and AI techniques while collaborating with engineers and product managers.
Job Summary:
We are looking for a passionate and detail-oriented Materials Science Content Analyst Intern to join our multidisciplinary team. In this role, you will support the development of our materials intelligence platform by contributing to data research, curation, and analysis. This is a great opportunity for students or recent graduates to apply their academic knowledge to real-world innovation challenges and gain hands-on experience in a tech-driven environment.
Key Responsibilities
Assist in researching and curating materials science content from diverse data sources, including scientific literature, databases, and patents.
Support the integration, classification, and quality control of materials-related data.
Learn to apply basic AI, ML, or data analysis techniques to extract insights and contribute to product development.
Collaborate with cross-functional teams including data engineers and product managers to support project goals.
Help maintain content accuracy and consistency aligned with materials science standards and ontologies.
Participate in the exploration of new data trends, technologies, and tools in materials informatics.
Job Requirement
Undergraduate or Master’s student in Materials Science, Chemistry, Physics, or a related field.
Basic understanding of materials science principles and scientific research methods.
Familiarity with data analysis tools (e.g., Excel, Python, or SQL) is a plus.
Strong attention to detail and willingness to learn new tools and concepts.
PatSnap offers IP and R&D analytics through our intelligence platform, giving businesses the patent data they need to make better decisions and innovate faster.
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