We are seeking subject matter experts in biological and chemical sciences to join our team. In this role, you will leverage your scientific expertise to curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance in life sciences and chemical sciences.
Key Responsibilities:
* Create scientifically accurate, domain-rich datasets in molecular biology, biochemistry, genetics, pharmacology, and biomedical engineering. Produce high-quality scientific content, including research abstracts, technical white papers, experimental design summaries, standard operating procedures, analytical chemistry workflows, and biomedical case studies.
* Validate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards. Identify and correct conceptual errors, dataset biases, or incomplete knowledge representations. Contribute to knowledge graph development and ontology engineering for biological and chemical datasets.
* 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.
Eligibility Criteria:
* An advanced degree is required: Master's, PhD, or equivalent in biology, biomedical sciences, chemistry, biochemistry, molecular biology, chemical engineering, or a related field.