Vectorious has developed the world’s first in-heart microcomputer and is on a mission to transform heart failure treatment. As part of our first in-human clinical study, we have successfully implanted our sensory device in patients across Europe, while demonstrating a huge potential in helping millions of people living with heart failure to take control and manage their disease. As an increasingly growing company we’ve been accepted to FDA’s prestige Breakthrough Device Designation program.

We are looking for a talented Senior Algorithm Engineer to join our Operations departement.

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.

Responsibilities

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.

Qualifications

• 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