Computational Biology, AI Specialist

🔥 0 minutes ago

🌐 Argentina, Bangladesh, +4 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇩 Bangladesh – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇪🇬 Egypt – Remote 🇳🇬 Nigeria – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

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

• Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps. • Develop realistic scientific datasets, input files, instructions, constraints, and expected deliverables. • Create tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, and troubleshoot intermediate results. • Implement reproducible expert solutions and objectively verifiable ground truths. • Design robust automated or semi-automated grading criteria for scientific tasks. • Validate scientific assumptions, calculations, code, intermediate outputs, and final results. • Ensure task dependencies, data, and computational resources can be reliably packaged in controlled environments. • Develop workflows using Python, command-line tools, scientific libraries, and relevant domain-specific software. • Ensure tasks assess scientific reasoning and execution rather than memorization. • Maintain high task quality and throughput while incorporating reviewer feedback.

🎯 Requirements

• PhD, postdoctoral experience, or equivalent research experience in Life Sciences or a closely related field. • Strong Python programming skills with demonstrated experience in scientific computing. • Experience conducting multi-step computational scientific analyses. • Experience working with scientific datasets and computational tools. • Ability to independently validate scientific reasoning, calculations, and computational outputs. • Experience developing reproducible computational workflows and verifying expected results. • Familiarity with scientific libraries, command-line tools, or domain-specific life sciences software. • Experience in scientific research involving computational methods, data analysis, or scientific programming.