Key Responsibilities
* Content Development & Knowledge Engineering:
* Molecular Biology, Biochemistry, and Genetics
* Chemistry (Organic, Inorganic, Physical, Analytical, Computational)
Promote high-quality scientific content, including:
* Chemical reaction pathways and analytical chemistry workflows
* Biomedical case studies, drug development datasets, and molecular pathway analyses
AI Model Evaluation & Data Refinement Expertise
* Collaborate with AI engineers, data scientists, and computational chemists to optimize model reasoning.
* Support the creation of adversarial testing datasets for LLMs in biomedical and chemical domains.
* Participate in R&D discussions to enhance AI performance in drug discovery, materials science, and biomedical research applications.
Essential Requirements:
* Master's, PhD, or equivalent in Biology, Biomedical Sciences, Chemistry, Biochemistry, Molecular Biology, Chemical Engineering, or a related field.
* Strong expertise in laboratory research, computational modeling, bioinformatics, or chemical analysis.
* Proven experience in scientific writing, peer-reviewed publication, or technical documentation.
* Computational chemistry software and cheminformatics tools.
* Bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies.