Scientific Python Research Specialist – Life Sciences

🔥 3 minutes ago

🌐 Ghana, India, +4 more countries – Remote

🇬🇭 Ghana – Remote 🇮🇳 India – Remote 🇮🇩 Indonesia – Remote 🇹🇷 Turkey – Remote 🇨🇱 Chile – Remote 🇵🇪 Peru – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔬 Research Analyst

👻 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 challenging, realistic agentic scientific workflows across the life sciences. • Create multi-step computational tasks requiring scientific reasoning and execution. • Develop realistic datasets, input files, instructions, constraints, and expected deliverables. • Design workflows requiring agents to inspect data, select methods, execute analyses, troubleshoot issues, and synthesize results. • Create reproducible expert solutions and objectively verifiable ground truths. • Develop robust automated or semi-automated grading criteria. • Ensure tasks evaluate scientific reasoning and execution rather than memorization. • Validate scientific assumptions, calculations, code, intermediate outputs, and final results. • Ensure tasks are self-contained and executable in controlled computational environments. • Maintain high task quality and throughput while incorporating reviewer feedback. • Work with Python and scientific programming libraries, command-line tools, domain-specific scientific software, scientific datasets, structured input files, packaged dependencies, and reproducible computational resources.

🎯 Requirements

• Strong scientific programming experience, particularly in Python. • Experience conducting multi-step computational scientific analyses. • Ability to independently validate scientific reasoning, calculations, code, and computational outputs. • Experience working with scientific data and computational research workflows. • Ability to create reproducible solutions and assess the correctness of scientific results.