Content Analyst (Materials Science)

Patsnap; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading tech company in Singapore is seeking a Content Analyst to join their R&D team. The ideal candidate will have a Master's or PhD in materials science or a related field, along with at least two years of relevant experience. Responsibilities include collaborating with product managers and data engineers to develop AI-driven materials science intelligence. The role requires strong communication skills, an understanding of complex scientific concepts, and fluency in English and Mandarin. This full-time position offers a unique opportunity to drive innovation in materials research.

Qualifications

• At least 2 years of work experience in materials science-related roles.
• Experience in energy storage, cosmetics, semiconductors, alloys, or polymers.
• Fluency in both English and Mandarin is a must.

Responsibilities

• Collaborate with cross-functional teams for product innovation.
• Translate complex scientific concepts into structured datasets.
• Contribute to the materials knowledge base identification and annotation.

Skills

Fluency in English

Fluency in Mandarin

Critical thinking

Problem solving

Education

Master’s degree or PhD in materials science, physics, chemistry, chemical engineering

Tools

Scientific databases

Job description

5 days ago Be among the first 25 applicants

Department Introduction

The R&D SG Department is dedicated to developing Eureka Material, an industry-leading materials R&D agent designed to solve materials-related R&D challenges and enhance R&D efficiency. This goal is achieved through a multidisciplinary team comprising product managers, materials content analysts, algorithm engineers, frontend and backend developers, and data engineers, etc.

About the Role

We are seeking a Content Analyst with a strong background in materials science, physics, chemistry, or chemical engineering. In this role, you will join a team of domain experts and collaborate closely with data and algorithm engineers to design ontologies, taxonomies, and knowledge models that support the development of an AI-driven materials science intelligence platform.

This position is ideal for candidates with industry experience who enjoy the intellectual challenge of connecting scientific concepts across disciplines and who value how a deep understanding of materials can drive innovation and sustainable product development.

Key Responsibilities

• Collaborate with product managers, data scientists, and algorithm engineers to drive product innovation.
• Communicate product features effectively to clients and diverse stakeholders.
• Analyze and identify key challenges across various materials science domains, including energy storage, cosmetics, semiconductors, alloys, polymers.
• Translate complex scientific concepts into structured, machine-readable datasets.
• Contribute to the expansion and enrichment of the materials knowledge base by identifying credible scientific and industry information sources.
• Annotate and contextualize information to improve data accuracy, discoverability, and machine readability.

Required Qualifications

• Master’s degree or PhD in materials science, physics, chemistry, chemical engineering, or a closely related field.
• At least 2 years of work experience in a role demonstrating expertise in one or more fields such as energy storage, cosmetics, semiconductors, alloys, polymers.
• Fluency in English and Mandarin.

Preferred Skills and Experience

• Experienced in diverse industries, including energy storage, cosmetics, semiconductors, alloys, polymers.
• Strong interest in large language models (LLMs) and how LLMs and data intelligence are transforming materials research, actively use AI tools in daily work.
• Experienced in project management; collaborated with cross-functional teams to understand client requirements and translate them into product and data features.
• Skilled at communicating complex scientific concepts to both technical and non-technical audiences through speaking, writing, and visual presentations.
• Experienced in materials research, technical literature review, and the use of scientific databases.
• Strong critical thinking and problem solving skills.
• Capable of balancing independent work with effective teamwork.

Seniority level

Not Applicable

Employment type

Full-time

Job function

Management and Manufacturing

Industries

Software Development

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