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## Role overview Develop AI-assisted scientific software solutions for life sciences, diagnostics, and biotechnology. Collaborate with researchers to create tools that accelerate innovation in healthcare and biotechnology. Work within a culture focused on continuous improvement and tangible impact through cutting-edge technology. ## Key responsibilities - Design and implement Python-based software for scientific data analysis - Integrate AI/ML models into laboratory automation workflows - Optimize algorithms for high-throughput biological data processing - Collaborate with cross-functional teams to translate research needs into software features - Document and maintain codebases for scientific reproducibility