Gramian Consulting
2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
Bioinformatics Scientist – Drug Discovery, AI Training
🔥 45 minutes ago
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Gramian Consulting
2 - 10 employees
Founded 2025
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.
📋 Description
• 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.
🎯 Requirements
• 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.
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