Content Analyst

4 days ago

Singapur, Singapore Patsnap Full time

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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