Job description
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
Responsibilities
- Develop Python-based software solutions for scientific research
- Integrate AI/ML models into laboratory automation systems
- Collaborate with biologists and data scientists to translate requirements into software
- Optimize algorithms for high-throughput biological data processing
- Maintain and document codebases for scientific reproducibility
Requirements
- 3+ years Python development experience in scientific domains
- Strong understanding of AI/ML principles and frameworks
- Experience with scientific data analysis workflows
- Familiarity with biotechnology/life sciences research
- Proficiency in algorithm optimization techniques
Benefits
- Work on impactful life sciences projects with global reach
- Access to Danaher's continuous improvement methodology training programs
Keywords
PythonAIMachine LearningScientific ComputingBiotechnologyData AnalysisSoftware Development