Job Opportunity:
We seek highly skilled Subject Matter Experts in Biological and Chemical Sciences to enhance our AI/ML model training and content development team.
In this role, you will utilize your scientific expertise to curate, validate, and create domain-specific content that improves AI reasoning and knowledge representation in life sciences and chemical sciences.
You will directly contribute to the training of advanced LLMs by developing datasets, reviewing model outputs, and ensuring alignment with scientific accuracy, regulatory compliance, and ethical standards.
Key Responsibilities:
Content Creation & Knowledge Engineering:
* 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
Produce high-quality scientific content, including research abstracts, technical white papers, experimental design summaries, standard operating procedures, analytical chemistry workflows, and biomedical case studies
Ai Model Evaluation & Data Refinement:
Evaluate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards
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 software, bioinformatics pipelines, or omics data analysis methodologies