Subject Matter Expert in Life Sciences

Há 2 dias

Belo Horizonte, Brasil beBeeChemistry Tempo inteiro
Biological and Chemistry Subject Matter Expert

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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