Senior Scientific Content Specialist
1 semana atrás
About this role:
We are seeking Subject Matter Experts in Biological & Biomedical Sciences and Chemistry to join our team.
You will leverage your scientific expertise to curate, validate, and create domain-specific content that improves AI reasoning and knowledge representation in life sciences and chemical sciences.
Key responsibilities include content creation, knowledge engineering, AI model evaluation, data refinement, and cross-disciplinary collaboration.
Eligibility criteria include an advanced degree in a related field, strong expertise in laboratory research, computational modeling, or bioinformatics, proven experience in scientific writing, and familiarity with regulatory frameworks and laboratory safety guidelines.
- Content Creation & Knowledge Engineering
- Create scientifically accurate, domain-rich datasets in molecular biology, biochemistry, genetics, pharmacology, biomedical engineering, chemistry, cell and developmental biology, immunology, microbiology, biotechnology, toxicology, and chemical engineering.
- Produce high-quality scientific content, including research abstracts, technical white papers, experimental design summaries, standard operating procedures (SOPs), analytical chemistry workflows, chemical reaction mechanisms, biomedical case studies, drug development datasets, and molecular pathway analyses.
- AI Model Evaluation & Data Refinement
- 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.
- Cross-Disciplinary Collaboration
- 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.
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