Sr. Algorithm Development Engineer

This position is responsible for the implementation, evaluation, and testing of algorithms and mathematical models for the Eversense continuous glucose monitoring (CGM) systems, as well as data processing and analysis of sensor and study data. This includes developing and maintaining Python-based data pipelines, running and analyzing datasets through those pipelines, and creating scripts and tools as needed to support algorithm development efforts. The individual will apply understanding of the math and signal processing behind the sensor to investigate and resolve sensor-related performance and accuracy issues and will present findings to internal stakeholders. The role requires strong proficiency in Python and MATLAB, experience in C/C++, and the ability to work independently in a remote environment with effective communication and presentation skills.

Responsibilities:

• Serve as a leading technical contributor in the implementation, evaluation, and testing of mathematical models and signal processing algorithms for processing data returned from the Eversense CGM systems
• Develop and maintain Python-based data processing pipelines; run, analyze, and manage large datasets to support algorithm development and evaluation efforts
• Create and maintain scripts, tools, and analysis workflows as needed to improve efficiency, reproducibility, and throughput of data processing (including parallelization where applicable)
• Apply data-driven analysis and understanding of mathematical modeling, sensor systems, and signal processing to investigate sensor-related performance and accuracy issues
• Work with internal staff and cross-functional teams to process sensor data, summarize findings, and present results to support algorithm and product development decisions
• Develop and run controlled unit tests for processing and analysis tools, and extend test coverage and supporting tooling as new workflows and project requirements emerge
• Maintain technical skills in data analysis, programming, and algorithm knowledge at a high level

Requirements:

• MS (PhD preferred) in Engineering (Electrical, Biomedical, Applied Physics), Computer Science, or in a related field (Physics, Math) with additional work experience
• 5+ years of professional experience in mathematical modeling, data analysis, R&D, or scientific computing; medical device (preferred) or other regulated industry experience
• Extensive scientific coding and data analysis skills (Python, Matlab, R, C/C++)
• Ability to independently, intuitively and creatively solve problems based on data driven approaches
• Self-motivated to contribute in a fast-paced start up environment
• Proficiency with version control systems (Git, SVN) for development and maintenance of code and tools
• Ability to meet high standards for quality and accuracy under tight deadlines
• Strong time management and multitasking skills
• Strong communication (verbal and written) and interpersonal skills