Senior Algorithm Engineer

In this role, you will develop algorithms for a unique state-of-the-art biomedical device and improve the lives of patients with chronic heart failure. You will work in a truly multidisciplinary environment and collaborate with peers across the company. You will play a significant role in a team dedicated to algorithm development and data mining, a part of a larger R&D organization.

Algorithm Development:

• Develop algorithms for signal processing from biological and electronic sources.
• Develop data-driven predictive models.
• Optimize algorithms and models to improve device accuracy and stability.
• Define requirements for well-engineered processes, experiments, and optimal device operation

Software Development:

• Implement and integrate algorithms into new and existing software environments.
• Maintain good code management practices.

Data Mining and Analysis: 

• Collect and process structured and unstructured data to from devices including data from production related processes, experiments and from the field.

Modeling:

• Gain deep understanding of Vectorious’ device theory of operation and empirical models of sub-components (such as MEMS device and ASIC)
• Improve modelling to optimize algorithms and system performance

Validation and characterization: 

• Plan and execute experiments using test equipment.
• Analyze results to support modelling and algorithm development

Reporting: 

• Create comprehensive reports for various audiences to communicate findings, insights, and recommendations.

• BSc (MSc or PhD advantage) in electrical engineering, applied physics or related fields from a recognized and leading academic institution.
• Minimum 10 years of experience in similar positions.
• Experience in development and optimization of algorithms and data-driven predictive models, simulations and data analysis of physical systems. Ability to communicate and document knowledge clearly.- Must
• Proficiency in Python for data analysis, data processing, statistical analysis, and visualization. Methodological approach to code management.- Must
• Ability to work with electronic test setups and instrumentation for data collection and analysis.- Must
• Hands-on experience with Data Mining: collecting, designing and using databases from structured and unstructured data, extracting actionable insights and producing data for training and optimization. - Advantage
• Working knowledge of good code development practices, methodology and architecture. Experience in co-development in a multi-user multi-repo environment. - Advantage
• experience in biological signal processing.
• Familiarity with MEMS / ASIC