
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.
🔥 11 minutes ago
Where this job comes from
Posted on Gramian Consulting's careers page, not through a job board
First seen by Remote Rocketship 11 minutes ago

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.
• 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 NGS, RNA sequencing, single-cell, genomic variant, protein structure, proteomics, molecular biology, and cellular biology datasets. • Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. • Identify analytical errors, methodological limitations, and opportunities to improve computational workflows. • Contribute domain expertise to developing and validating 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.
• 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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