
Subject Matter Expert in Life Sciences
4 semanas atrás
We are seeking a highly qualified expert in Biological & Biomedical Sciences and Chemistry to join our model training and content development team.
As an expert, you will leverage your scientific expertise to curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance in life sciences and chemical sciences.
Key Responsibilities:
- Develop scientifically accurate, domain-rich datasets in various fields, including Molecular Biology, Biochemistry, and Genetics, Pharmacology and Biomedical Engineering, Chemistry, Cell and Developmental Biology, Immunology, Microbiology, Biotechnology, Toxicology, and Chemical Engineering.
- Produce high-quality scientific content, including research abstracts, technical white papers, experimental design summaries, standard operating procedures, analytical chemistry workflows, and chemical reaction mechanisms.
- 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.
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.
- Preferred experience with computational chemistry, cheminformatics, molecular modeling software, bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies.
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