Drug Discovery Specialist - Freelance AI Trainer Project
Core
You will act as an expert evaluator and trainer for large language models, verifying factual accuracy, documenting failure modes, and suggesting improvements on topics like medicinal chemistry, pharmacology, and drug design.
Role type
Freelance AI Trainer (Drug Discovery Domain)
Builds
High-quality training data and evaluation metrics for scientific AI models
Domain
Pharmaceutical sciences, medicinal chemistry, pharmacology, and AI training
Deliverable
production ML models
Required skills
Medicinal chemistry, pharmacology, high-throughput screening, target validation, ADMET profiling, lead optimization, molecular modeling, structure-based drug design, translational research, ligand–receptor interactions, pharmacokinetics, pharmacodynamics, in silico docking studies, assay development, chemical libraries, biomarker identification, preclinical candidate evaluation
Preferred skills
PhD in pharmaceutical sciences, chemistry, or pharmacology, peer-reviewed publications, lab-based discovery research, applied computational chemistry projects
Technologies
Large language models, prompt engineering, evaluation metrics
Responsibilities
Converse with the model on compound screening strategies and theoretical drug design questions, verify factual accuracy and logical soundness, capture reproducible error traces, suggest improvements to prompt engineering and evaluation metrics
Seniority
Mid-Senior Level