Job Title:
Biological Sciences Subject Matter Expert – AI Training and Development
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About the Role:
* Leverage your scientific expertise to curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance in life sciences.
* 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:
o 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.
o Produce high-quality scientific content, including research abstracts and technical white papers, experimental design summaries, standard operating procedures, analytical chemistry workflows, and chemical reaction mechanisms.
* 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.
* 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.
Eligibility Criteria:
* Advanced degree required: Master's, PhD, or equivalent 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.