Content Analyst (Materials Science)

PATSNAP PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company in materials science innovation seeks an experienced Materials Science Content Analyst to enhance their product development efforts. This role offers a unique opportunity to work with emerging technologies and contribute to significant innovations in materials science through data-driven insights. Candidates should have a strong background in both materials science and AI techniques, engaging with cross-functional teams and ensuring data quality.

Qualifications

• Deep experience in computational or data-driven approach for material science innovation.
• Strong programming skills and experience with data curation and preprocessing.

Responsibilities

• Drive development of materials intelligence cloud platform and collaborate with cross-functional teams.
• Analyze and interpret materials science data using AI, ML, and LLM techniques.
• Create visualizations to effectively communicate complex findings.

Skills

Data analysis

AI/ML techniques

Programming skills

Analytical abilities

Problem-solving

Education

Ph.D. or Master's in Materials Science, Chemistry, Physics

Tools

Cheminformatics tools

Cloud computing

Job description

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.