Minimum qualifications:

PhD in Biomedical Engineering, Electrical Engineering, Computer Science, or related field, or equivalent practical experience.

Experience using Python, MATLAB, or similar tools for data acquisition and analysis.

Experience with hardware characterization, debugging, and rapid prototyping techniques.

Experience in human physiology, sensing, and experiments involving human subjects.

Preferred qualifications:

Experience developing physiological sensor technologies (e.g., PPG, ECG).

Experience developing medically-regulated devices, algorithms or product features.

Experience with hardware characterization, debug and/or rapid prototyping.

Statistics skills relevant to drawing reliable conclusions from experimental data.

About the job

The Consumer Health Research and Technology team (CHRT) creates health sensing technologies used inside of Fitbit devices and across other Google surfaces.

As a Research Scientist, you will investigate and develop new sensing capabilities, enabling novel health and wellness product features. You will model, refine, and optimize the performance of existing sensors, and broaden their range of use cases to cardiovascular health monitoring. You will design and execute experiments to verify sensor performance under real-world conditions, including testing with human subjects.

In this role, you will collaborate closely with an interdisciplinary group of experts in electrical engineering, firmware, and algorithms to implement high-performing sensing systems, and partner with Engineering counterparts to develop promising technologies. As a Research Scientist, you may also have the opportunity to contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects and from collaborations with research programs at partner universities and technical institutions all over the world.

Responsibilities

Collaborate with a cross-functional team of hardware, firmware, and algorithm experts to design, build, and evaluate prototype sensor systems for health and wellness applications, with an initial focus on cardiovascular health.

Develop experimental algorithms for predicting cardiovascular and other health metrics from biological waveforms and other sensor data.

Conduct studies using human subjects to demonstrate system performance.

Produce well-written scientific reports to share our findings internally, and where relevant, publish in peer reviewed journals and conferences.