
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.
🔥 0 minutes ago
Where this job comes from
Posted on Gramian Consulting's careers page, not through a job board
First seen by Remote Rocketship 0 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.
• Combine scientific research expertise with practical software skills to contribute to projects focused on evaluating and improving advanced AI systems. • Create and solve technically rigorous scientific problems within the area of specialization. • Develop reproducible Python-based analyses, models, simulations, and data-processing workflows. • Analyze and interpret biological or biomedical datasets using appropriate computational methods. • Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility. • Identify errors in scientific reasoning, computational methods, assumptions, and code implementation. • Apply relevant statistical and computational techniques to validate research findings. • Document methodologies, assumptions, and solutions in a clear and structured manner. • Work approximately 15 hours per week on an output-based, per-task compensation model.
• Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field. • Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments. • Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation. • Ability to independently write, understand, debug, and validate Python code. • Experience working with scientific or biological datasets and interpreting computational results. • Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions. • Excellent written English and the ability to communicate complex scientific concepts clearly. • Native English speaker for the listed US, CA, AUS, NZ, UK locations.
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.