Data Mastering

Job Title: Biological & Biomedical Sciences / Chemistry Subject Matter Expert – AI Training & Content Development INOD) is a global leader in data engineering and AI-powered technology solutions , trusted by 2,000+ enterprise customers worldwide, including 4 of the top 5 global technology companies .
We are seeking Subject Matter Experts (SMEs) in Biological & Biomedical Sciences and Chemistry to join our AI/ML model training and content development team.
In this role, 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.
You will directly 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.
Content Creation & Knowledge Engineering: Molecular Biology, Biochemistry, and Genetics Chemistry (Organic, Inorganic, Physical, Analytical, Computational) Produce high-quality scientific content, including: Analytical chemistry workflows and chemical reaction mechanisms Biomedical case studies, drug development datasets, and molecular pathway analyses AI Model Evaluation & Data Refinement: 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.
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.
Computational chemistry, cheminformatics, or molecular modeling software.
Bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies.
Selected candidates must complete an English Language Assessment.