Job description

We are looking for an experienced Materials Science Content Analyst to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our Product development. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference.

Responsibilities

• Drive the development and improvement of the materials intelligence cloud platform, collaborating with cross-functional teams and focusing on user needs and scalability.
• Identify, integrate, and curate diverse materials science data sources, ensuring data quality, consistency, and accessibility. Implement data quality control measures.
• Maintain a strong understanding of relevant standards and ontologies in materials science and chemistry.
• Apply and adapt AI, ML, and LLM techniques to analyze and interpret materials science data, extracting insights, predicting properties, and accelerating discovery.
• Leverage patent data, cheminformatics and matinformatics principles to identify trends, opportunities, and enhance data analysis and interpretation.
• Proactively research and explore new data sources, algorithms, and emerging technologies in materials informatics.
• Collaborate effectively with cross-functional teams and communicate complex technical concepts clearly.
• Perform advanced data analytics and create visualizations to communicate complex findings effectively.

Requirements

• Ph.D. or Master's in a relevant field (Materials Science, Chemistry, Physics, etc.) with deep experience in computational or data-driven approach for material science innovation.
• Deep understanding of materials science principles, characterization techniques, and applications in diverse material-driven industry domains.
• Proficiency in applying AI/ML/LLM techniques, strong programming skills, and experience with data curation and preprocessing. Familiarity with cloud computing and cheminformatics tools is a plus.
• Excellent analytical and problem-solving abilities, with the capacity to interpret complex datasets and derive meaningful insights.