Job Title
Biological and Chemical Sciences Expert – AI Training and Content Development
About the Role
We are seeking experts in biological and chemical sciences to join our team. The ideal candidate will leverage their scientific expertise to curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance.
This role involves developing datasets, reviewing model outputs, and ensuring alignment with scientific accuracy, regulatory compliance, and ethical standards.
The expert will directly contribute to the training of advanced LLMs and scientific AI systems by creating high-quality scientific content, including research abstracts and technical white papers.
In this capacity, the expert will also collaborate with AI engineers, data scientists, and computational chemists to optimize model reasoning and support the creation of adversarial testing datasets for LLMs in biomedical and chemical domains.
Key Responsibilities:
Content Creation & Knowledge Engineering:
* Develop scientifically accurate, domain-rich datasets in Molecular Biology, Biochemistry, and Genetics Pharmacology and Biomedical Engineering Chemistry (Organic, Inorganic, Physical, Analytical, Computational) Cell and Developmental Biology, Immunology, Microbiology Biotechnology, Toxicology, and Chemical Engineering.
* Produce high-quality scientific content, including Research abstracts and technical white papers Experimental design summaries Standard operating procedures (SOPs) Analytical chemistry workflows and 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.
Benefits:
The successful candidate will have the opportunity to work on cutting-edge projects and collaborate with a talented team of experts in AI, data science, and computational chemistry.
The role offers a challenging and rewarding experience, with opportunities for professional growth and development.