Life Sciences Research, Python Specialist

🔥 0 minutes ago

🌐 India, Japan, +4 more countries – Remote

🇮🇳 India – Remote 🇯🇵 Japan – Remote 🇰🇷 South Korea – Remote 🇹🇼 Taiwan – Remote 🇭🇰 Hong Kong – Remote 🇵🇰 Pakistan – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

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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

• 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 • Contribute to projects focused on evaluating and improving advanced AI systems

🎯 Requirements

• 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 specified locations

🏖️ Benefits

• Flexible schedule—you choose your working hours and days, including weekends if preferred • Approximately 15 hours per week • Output-based compensation, with payment per task that meets project specifications

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