Note: The job is a remote job and is open to candidates in USA. Senseonics, Incorporated develops the Eversense continuous glucose monitoring systems. The Sr. Algorithm Development Engineer implements, evaluates, and tests mathematical models and signal processing algorithms, while developing Python-based data pipelines and analyzing sensor data. The role also investigates sensor performance issues, creates analysis tools and tests, and presents findings to internal and cross-functional stakeholders.

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

Skills

• 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
• PhD

Company Overview

Company H1B Sponsorship