Biological Subject Matter Expert
We are seeking a scientific professional to join our team of AI/ML model trainers and content developers in the field of biological sciences. In this role, you will leverage your expertise to curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance in life sciences.
Key Responsibilities:
Content Creation & Knowledge Engineering:
Develop scientifically accurate, domain-rich datasets in Molecular Biology, Biochemistry, Genetics, Pharmacology, Biomedical Engineering, Cell and Developmental Biology, Immunology, Microbiology, Biotechnology, Toxicology, and Chemical Engineering. Produce high-quality scientific content, including Research abstracts and technical white papers, Experimental design summaries, Standard operating procedures (SOPs), Analytical chemistry workflows and 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. 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:
An advanced degree is 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, or molecular modeling software, Bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies.
Additional Information:
Select candidates must complete an English Language Assessment.