Scientific Content Expertise
We are seeking an individual with exceptional scientific knowledge to curate and validate high-quality content for advanced LLMs and AI systems in life sciences and chemical sciences.
The ideal candidate will leverage their expertise in biological and biomedical sciences, as well as chemistry, to develop scientifically accurate datasets, review model outputs, and ensure alignment with scientific accuracy, regulatory compliance, and ethical standards.
This is a unique opportunity to contribute to the development of cutting-edge AI models that improve reasoning, knowledge representation, and performance in various domains.
Key Responsibilities:
* Content Creation & Knowledge Engineering:
o Develop scientifically accurate datasets in Molecular Biology, Biochemistry, Genetics, Pharmacology, Biomedical Engineering, Chemistry, Cell and Developmental Biology, Immunology, Microbiology, Biotechnology, Toxicology, and Chemical Engineering
o Create high-quality scientific content, including research abstracts, technical white papers, experimental design summaries, standard operating procedures, analytical chemistry workflows, chemical reaction mechanisms, biomedical case studies, drug development datasets, and molecular pathway analyses
* AI Model Evaluation & Data Refinement:
o Validate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards
o Identify and correct conceptual errors, dataset biases, or incomplete knowledge representations
o Contribute to knowledge graph development and ontology engineering for biological and chemical datasets
* Cross-Disciplinary Collaboration:
o Collaborate with AI engineers, data scientists, and computational chemists to optimize model reasoning
o Support the creation of adversarial testing datasets for LLMs in biomedical and chemical domains
o Participate in R&D discussions to enhance AI performance in drug discovery, materials science, and biomedical research applications
Eligibility Criteria:
* An advanced degree 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
* Familiarity with regulatory frameworks, laboratory safety, and ethical research guidelines
* Preferred experience with Computational chemistry, cheminformatics, or molecular modeling software, Bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies
Additional Information:
* A language proficiency assessment may be required for selected candidates