Job Description
Company Introduction
PatSnap is a a SaaS-based tech innovation intelligence service provider.
Patsnap helps R&D leaders to maximise the value of innovation intelligence
within their R&D workflow and strategic planning. As the global leaders in
connected innovation intelligence, PatSnap use AI-powered and machine
learning technology to comb through billions of datasets, and help innovators
connect the dots. Patsnap recently completed a Series E funding round of $300
million, led by Tencent and the SoftBank Vision Fund II. This represents the
largest round of funding in the SaaS sector since 2020, Patsnap is a unicorn in
the SaaS track.
Department Introduction
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.
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.
