
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.
🔥 0 minutes ago
🌐 Argentina, Bangladesh, +4 more countries – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🔬 Research Analyst
👻 Ghost score 12%
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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.
• Design novel, challenging tasks in computational genomics and bioinformatics that test advanced AI agent capabilities. • Develop realistic, multi-step workflows involving FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, expression data, and sequence annotations. • Create tasks requiring scientific judgment, including identifying data artifacts, handling ambiguity, selecting appropriate methods, and revising assumptions based on intermediate results. • Prepare task specifications, input datasets, expected output schemas, and objectively verifiable ground truths. • Develop expert reference solutions and reproducible computational workflows using Python, command-line tools, and bioinformatics libraries. • Validate scientific accuracy, solvability, and appropriate challenge level for advanced AI models. • Design grading criteria that distinguish scientifically correct solutions from superficially plausible outputs. • Ensure deliverables are reproducible, well documented, and suitable for client review. • Incorporate reviewer feedback while maintaining quality and throughput. • Communicate progress, blockers, and scientific or technical requirements to project leads and reviewers.
• Ph.D., postdoctoral experience, or equivalent research experience in Bioinformatics, Computational Biology, Genomics, Computational Genetics, or a closely related discipline. • Strong hands-on programming experience with Python. • Practical experience analyzing biological sequence or genomics datasets. • Experience working in Linux or command-line computational environments. • Ability to independently validate scientific reasoning, computational methods, and analytical outputs.
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