Biology and Bioinformatics Research Specialist – AI Projects

🔥 1 minute ago

🌐 United States, Canada, +3 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇬🇧 United Kingdom – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – 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, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. • Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility. • Assess and optimize pipeline parameters, software configurations, and statistical methods. • Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures. • Validate computational approaches and provide actionable recommendations to improve scientific reliability. • Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools. • Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer. • Communicate complex scientific concepts clearly to both technical and non-technical stakeholders.

🎯 Requirements

• PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience. • Professional written and spoken English proficiency at C1 level or higher. • Deep expertise in at least one relevant biological or computational research area. • Hands-on experience analyzing real biological datasets. • Proficiency in Python and/or R for scientific analysis. • Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization. • Strong statistical, quantitative, analytical, and scientific reasoning skills. • Excellent written and verbal communication skills, including the ability to explain technical methods and document results. • Demonstrated ability to solve complex biological or computational problems rigorously.