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BIOINFORMATICS SCIENTIST (DRUG DISCOVERY & AI TRAINING)

Gramian Consulting Group
Contractmid€90-120/hour

Job description

About Us Gramian 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 Overview We 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 task COMMITMENT: Flexible, based on available tasks and project demand LOCATIONS: Fully remote - GLOBAL PROCESS: Application review, technical assessment, and onboarding HOURLY RATE: $90-$120/h Responsibilities • Analyse 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 outputs. • Advanced 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.

Skills

PythonRDKitKNIME