Danaher
Analytics Engineer
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Molecular Devices, one of Danaher's 15+ operating companies, our work saves livesand we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact
innovating at the speed of life. Join Molecular Devices and help drive scientific discovery for life science customers in academia, biotech, pharma, and government. Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain deep insights, accelerating the development of safer, more effective therapeutics. As part of our teamrooted in collaboration, authenticity, and innovationyou'll ultimately contribute to groundbreaking science that enhances lives globally and shapes a healthier future for all. This position reports to the Manager, Software Engineering and is part of the R&D team located in Bellevue, Seattle and will be an on-site role. In this role, you will have the opportunity to: Software Development & Architecture:
Design, develop, and maintain high-performance machine learning and computer vision applications tailored for life science imaging challenges. Architect robust, scalable, high-performance, and maintainable software systems that integrate seamlessly with existing industrial workflows. Advanced Image Analysis & AI Integration:
Develop and optimize AI algorithms for image analysis, collaborate with teams to solve biological challenges, and create innovative algorithms for feature extraction and pattern recognition. Data Management & Processing:
Oversee the collection and preprocessing of large-scale image datasets, and develop scalable data pipelines for comprehensive analysis. Performance Optimization:
Identify performance bottlenecks in software and implement optimization strategies to enhance processing speed and efficiency. Custom kernel development by write and optimize custom CUDA kernels for specialized AI and deep learning workloads. Develop algorithms for large-scale data processing, model prediction and model training. Industrial Application Development:
Ensure the software meets industrial standards for reliability, security, and compliance with regulatory requirements specific to the life science domain. Develop comprehensive documentation, including technical specifications, user guides, and maintenance procedures. The essential requirements of the job include: Education:
Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. preferred. Experience:
5+ years of professional software development experience, with a focus on industrial application development and machine learning/computer vision solutions. Technical Skills:
Proficiency in Python and C/C++, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and strong understanding of computer vision algorithms. Domain Knowledge:
Understanding of life science imaging techniques and knowledge of regulatory standards and data privacy requirements in the life sciences. Soft Skills:
Excellent problem-solving skills, strong communication and collaboration abilities, and the ability to manage multiple projects concurrently. It would be a plus if you also possess previous experience in: Experience in deploying machine learning models in production environments. Publications or contributions to open-source projects in computer vision or machine learning. Previous experience in a regulated industry such as healthcare or pharmaceuticals.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Molecular Devices, one of Danaher's 15+ operating companies, our work saves livesand we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact
innovating at the speed of life. Join Molecular Devices and help drive scientific discovery for life science customers in academia, biotech, pharma, and government. Our automated and AI-enabled technology empowers researchers to tackle complex questions and gain deep insights, accelerating the development of safer, more effective therapeutics. As part of our teamrooted in collaboration, authenticity, and innovationyou'll ultimately contribute to groundbreaking science that enhances lives globally and shapes a healthier future for all. This position reports to the Manager, Software Engineering and is part of the R&D team located in Bellevue, Seattle and will be an on-site role. In this role, you will have the opportunity to: Software Development & Architecture:
Design, develop, and maintain high-performance machine learning and computer vision applications tailored for life science imaging challenges. Architect robust, scalable, high-performance, and maintainable software systems that integrate seamlessly with existing industrial workflows. Advanced Image Analysis & AI Integration:
Develop and optimize AI algorithms for image analysis, collaborate with teams to solve biological challenges, and create innovative algorithms for feature extraction and pattern recognition. Data Management & Processing:
Oversee the collection and preprocessing of large-scale image datasets, and develop scalable data pipelines for comprehensive analysis. Performance Optimization:
Identify performance bottlenecks in software and implement optimization strategies to enhance processing speed and efficiency. Custom kernel development by write and optimize custom CUDA kernels for specialized AI and deep learning workloads. Develop algorithms for large-scale data processing, model prediction and model training. Industrial Application Development:
Ensure the software meets industrial standards for reliability, security, and compliance with regulatory requirements specific to the life science domain. Develop comprehensive documentation, including technical specifications, user guides, and maintenance procedures. The essential requirements of the job include: Education:
Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. preferred. Experience:
5+ years of professional software development experience, with a focus on industrial application development and machine learning/computer vision solutions. Technical Skills:
Proficiency in Python and C/C++, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and strong understanding of computer vision algorithms. Domain Knowledge:
Understanding of life science imaging techniques and knowledge of regulatory standards and data privacy requirements in the life sciences. Soft Skills:
Excellent problem-solving skills, strong communication and collaboration abilities, and the ability to manage multiple projects concurrently. It would be a plus if you also possess previous experience in: Experience in deploying machine learning models in production environments. Publications or contributions to open-source projects in computer vision or machine learning. Previous experience in a regulated industry such as healthcare or pharmaceuticals.