neXa

Data Analyst

• Develop and enhance Python-based applications supporting laboratory research and scientific data analysis
• Design and implement tools for processing, analyzing, and interpreting experimental datasets
• Develop numerical and computational solutions for predictive modeling of polymer material behavior
• Evaluate experimental data and identify suitable mathematical and computational approaches
• Implement and adapt computational models based on project objectives and available data
• Validate computational results, assess model accuracy, and ensure solution reliability
• Write clean, maintainable, and well-tested Python code
• Collaborate with scientific and engineering experts to translate research requirements into software functionalities

Explore Python Scientific Software Engineer – Computational Modeling,… at neXa. Review requirements and application details.

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Python Scientific Software Engineer – Computational Modeling, Data Analysis