Bioinformatics Scientist (Drug Discovery & AI Training)

About UsGramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.Role OverviewWe are looking for an experienced Bioinformatics Scientist to support a scientific project focused on improving how advanced AI systems understand biological, chemical, and drug-discovery data.You will analyse and validate complex datasets, review AI-generated scientific content, and contribute expert insights across bioinformatics, medicinal chemistry, cheminformatics, and molecular analysis. Previous AI experience is not required.CONTRACT: Freelance contractor, paid per completed taskCOMMITMENT: Flexible, based on available tasks and project demandLOCATIONS: Fully remote - GLOBALPROCESS: Application review, technical assessment, and onboardingHOURLY RATE: $90-$120/hResponsibilitiesAnalyse biological, chemical, and clinical datasets relevant to drug discovery. Curate, annotate, and validate scientific data. Evaluate AI-generated outputs for accuracy, relevance, and reliability. Interpret findings from omics, cheminformatics, and molecular datasets. Develop scientific content and realistic medicinal chemistry scenarios. Provide input on experimental design and data interpretation. Identify data-quality issues, inconsistencies, and unsupported conclusions. Deliver structured feedback and recommendations to improve AI outputsRequirementsAdvanced degree in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related field. Experience analysing large-scale biological, omics, or cheminformatics datasets. Strong knowledge of medicinal chemistry, structure-activity relationships, or drug-design principles. Proficiency with bioinformatics or cheminformatics tools and programming languages such as Python, R, RDKit, or KNIME. Experience interpreting scientific literature and communicating technical findings clearly