Lead a team of data engineers and scientists in the development of cutting-edge AI solutions for the life sciences industry.
About the Role
This is an exceptional opportunity to leverage your scientific expertise in Biological & Biomedical Sciences and Chemistry to drive innovation and growth. As a Subject Matter Expert (SME), you will play a key role in the creation, validation, and refinement of domain-specific content for AI model training and content development.
Key Responsibilities:
1. Data Creation and Engineering:
* Develop high-quality, scientifically accurate datasets in Molecular Biology, Biochemistry, Genetics, Pharmacology, Biomedical Engineering, Chemistry, Cell and Developmental Biology, Immunology, Microbiology, Biotechnology, Toxicology, and Chemical Engineering.
* Produce comprehensive scientific content, including research abstracts, technical white papers, experimental design summaries, standard operating procedures (SOPs), analytical chemistry workflows, chemical reaction mechanisms, biomedical case studies, drug development datasets, and molecular pathway analyses.
2. AI Model Evaluation and 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.
3. 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.