Bioinformatics Research Specialist, Python, AI

🔥 0 minutes ago

🌐 Sri Lanka, Saudi Arabia, +2 more countries – Remote

🇱🇰 Sri Lanka – Remote 🇸🇦 Saudi Arabia – Remote 🇳🇵 Nepal – Remote 🇲🇽 Mexico – 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 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, artifact identification, ambiguity handling, method selection, and revision of assumptions based on intermediate results. • Prepare task specifications, input datasets, expected output schemas, and objectively verifiable ground truths. • Develop expert reference solutions and reproducible workflows using Python, command-line tools, and bioinformatics libraries. • Validate scientific accuracy, solvability, and challenge level for advanced AI models. • Design grading criteria distinguishing 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.

🎯 Requirements

• 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.