Content Analyst

Join to apply for the
Content Analyst (Materials Science)
role at
Patsnap
Join to apply for the
Content Analyst (Materials Science)
role at
Patsnap
The R&D SG Department is dedicated to building leading capabilities in natural language processing technology and services. This is achieved by leveraging technologies such as Deep Learning, NLP, CV, and Knowledge Graph to create top-tier products.
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.
Job 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.
Job 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.
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Science, Analyst, and Information Technology
Industries Software Development
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