Formulation Domain Specialist (Knowledge Architect)

About the Role

Patsnap's Materials team is developing a structured knowledge base for formulations extracted from patents, scientific literature, and technical documents to fuel its Formulation Agent. This Agent assists scientists in converting product goals, existing formulas, ingredient requirements, and claims into scientifically backed formulation guidance, specifying ingredient roles, dosage ranges, processing steps, and citations.

As a Formulation Domain Specialist (Knowledge Architect), you will delineate how formulation data is represented and assessed. This includes defining relationships among ingredients, amounts, procedures, test samples, properties, and claims as well as grounding them in supporting evidence. Collaborating closely with formulation scientists, data scientists, engineers, and product managers, you will convert expert insights into formal schemas, curation standards, benchmarks, and evaluation methodologies to boost the accuracy and auditability of our formulation-related products.

This position is located at our Singapore office.

Key Responsibilities

• Create and manage a comprehensive knowledge framework for formulations covering ingredients, their functions, concentrations, processing protocols, properties, testing methodologies, and performance results.
• Define evidence quality benchmarks to distinguish proposed, prepared, and tested formulations and represent provenance, confidence levels, and conflicting data appropriately.
• Develop normalization schemes to harmonize formulation data sourced from patents, scientific publications, datasheets, and other technical references.
• Design guidelines, benchmarking tools, and evaluation datasets to support formulation data extraction, search capabilities, and AI-generated recommendations.
• Collaborate with product managers, data scientists, and engineers to incorporate expert feedback and user insights into product and data enhancements.
• Lead complex formulation data reviews and problem resolution while supporting quality assurance for both internal and external curation efforts.

Why You Should Join

• Contribute to AI solutions that understand formulation knowledge with improved scientific precision and traceability.
• Transform formulation expertise into systematic rules and standards applicable to extensive technical content.
• Influence the quality and effectiveness of Patsnap’s formulation data and AI products utilized by R&D teams worldwide.

Candidate Requirements

• Academic degree in formulation science, chemistry, polymer science, materials science, chemical engineering, pharmaceutical science, cosmetic science, or related discipline.
• Minimum 5 years relevant experience in formulation research and development, scientific data analysis, technical data curation, or knowledge management.
• Deep understanding of formulation design concepts including ingredient roles, dosage ranges, processing conditions, testing methods, and performance relationships.
• Proficiency in evaluating evidence from patents, scientific articles, datasheets, and laboratory records.
• Experience developing structured domain knowledge using schemas, taxonomies, controlled vocabularies, normalization techniques, or equivalent methods.
• Capability to articulate scientific judgments into standardized, reproducible guidelines and quality protocols.
• Strong project leadership and cross-disciplinary communication skills; must be professionally fluent in English and Chinese.

Desirable Skills

• Practical experience in developing or troubleshooting formulations in cosmetics, chemicals, coatings, polymers, pharmaceuticals, or similar industries.
• Familiarity with formulation informatics, experimental data management, design of experiments, Electronic Lab Notebooks (ELN), or Laboratory Information Management Systems (LIMS).
• Experience with knowledge graphs, entity resolution, chemical structure data handling, information retrieval, or search system evaluation.
• Understanding of how large language model (LLM)–based products locate, assess, and utilize scientific knowledge.
• Background in patent analysis, prior-art searching, novelty checks, and freedom-to-operate evaluations.