Biology and Bioinformatics Research Specialist – MSc/PhD

🔥 9 hours ago

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

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇦🇺 Australia – Remote 🇳🇿 New Zealand – Remote 🇬🇧 United Kingdom – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔬 Research Analyst

👻 Ghost score 12%

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Gramian Consulting

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Founded 2025

💼 Consulting

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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. • Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. • Assess and optimize computational pipeline parameters, software configurations, and statistical methods. • Analyze biological datasets, including NGS data, RNA sequencing and single-cell datasets, genomic variants and variant calling results, protein structures and proteomics data, and molecular and cellular biology datasets. • Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. • Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. • Contribute domain expertise to the development and validation of biology-related AI models and tools. • Document findings, methodologies, and best practices to support knowledge transfer. • Communicate complex scientific concepts clearly to technical and non-technical collaborators.

🎯 Requirements

• Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. • Equivalent professional industry or research experience may also be considered. • Deep expertise in at least one relevant biological or computational specialization. • Hands-on experience analyzing real biological datasets. • PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. • Proficiency in Python and/or R. • Experience with relevant scientific tools, depending on specialization. • Professional written and spoken English proficiency at C1 level or higher. • Strong statistical, quantitative, and analytical reasoning skills.

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