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Jobs/Applied Scientist Role/patsnap - Formulation Scientist
patsnap

patsnap - Formulation Scientist

Singapore1mo ago
In OfficeMidAPACArtificial IntelligenceMaterialsApplied ScientistAI Engineer

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Requirements

• Bachelor’s and above in Chemistry, Chemical Engineering, Cosmetic Science, Materials Science, or related field. • 3+ years of hands-on formulation experience (cosmetics and chemical preferred; other industry also considered). • Strong understanding of ingredient functionality, formulation design, stability testing, and regulatory considerations. • Experience in product development from concept to commercialization. • Ability to communicate technical concepts clearly to cross-functional teams. • Interest in AI, digital tools, or emerging technologies in R&D is highly desirable • Proven Experience in professional formulation development (skincare, personal care, color cosmetics, etc.) • Familiarity with raw material databases and formulation software tools. • Prior experience working with cross-functional product or technology teams, transferring domain knowledge to AI based solution. • AI engineer and product manager background is a strong plus • ## What You’ll Be Building • You will play a key role in shaping the Eureka Materials Agent as a trusted industrial expert — bridging domain science and artificial intelligence to create a next-generation digital assistant for formulation and materials innovation.

Responsibilities

• Serve as the domain expert for formulation science within the development of the Eureka Materials Agent. • Collaborate with Product Managers to define use cases, workflows, and industry requirements. • Work alongside AI Engineers to translate formulation knowledge into structured logic, prompts, and domain frameworks (e.g., defining chemical property mapping and constraints). • Provide technical validation to ensure outputs are scientifically sound and industrially feasible • Contribute to the development of formulation knowledge bases, best-practice guidelines, and evaluation benchmarks. • Support testing and optimization of the AI agent from an industrial application perspective. • Identify real-world formulation challenges and translate them into AI-enabled solutions.

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