As a subject matter expert in life sciences and chemical sciences, you will play a pivotal role in developing high-quality datasets for AI model training and content development. Your expertise will be utilized to curate, validate, and create accurate content that enhances AI reasoning and performance in the relevant domains.
Key Responsibilities:
* Content Creation & Knowledge Engineering: Develop scientifically accurate datasets in molecular biology, biochemistry, genetics, pharmacology, biomedicine, chemistry, cell biology, immunology, microbiology, biotechnology, toxicology, and chemical engineering. Produce research abstracts, technical white papers, experimental design summaries, SOPs, analytical workflows, and biomedical case studies.
* 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.
* 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.
This is an exciting opportunity to leverage your expertise and contribute to the advancement of AI technologies in life sciences and chemical sciences. If you are passionate about science, innovation, and collaboration, we encourage you to apply.