As a highly skilled and accomplished Biological/Chemistry Subject Matter Expert (Master/PHD), you will be responsible for leveraging your scientific expertise to curate, validate, and create domain-specific content that enhances AI reasoning, knowledge representation, and performance in life sciences and chemical sciences.
About the Role:
* Leverage your scientific expertise to develop 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.
* Contribute to the training of advanced LLMs and scientific AI systems by developing datasets, reviewing model outputs, and ensuring alignment with scientific accuracy, regulatory compliance, and ethical standards.
Key Responsibilities:
* Content Creation & Knowledge Engineering: Develop high-quality scientific content, including research abstracts and 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: 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.
Required Skills and Qualifications:
* 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:
* Computational chemistry, cheminformatics, or molecular modeling software.
* Bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies.