What You'll Be Doing
- Prototype algorithms:
- Research novel methods for vital sign signal extraction using high frequency sensor data
- Work with product team to define algorithm requirements and test metrics
- Iterate rapidly to develop algorithm prototypes and communicate performance tradeoffs
- Productize algorithms:
- Port algorithms to C/C++ and optimize computations to meet processor and power constraints
- Develop test protcols for data collection team, and perform QA to ensure the product meets the requirements
- Contribute to team infrastructure and support data collection:
- Ideate new tools to automate algorithm benchmarking and testing to improve team efficiency
- Develop and maintain internal signal evaluation tools to help algorithm, firmware, and hardware teams optimize existing and future products
- Assist in designing and conducting studies to evaluate new hardware/firmware prototypes, in both the development and validation stages.
What You Need
- PhD or MS in EE, CS, or related engineering field
- 5+ years experience in signal processing methods and algorithm design (FIR/IIR filters, adaptive filtering, statistical processes, time/frequency analysis, etc)
- Experience with pre-processing and analyzing large time-series datasets
- Experience in embedded C/C++, especially in resource constrained systems
- Experience with embedded microcontrollers, such as ARM Cortex M0/M4 or similar
- Nice to have: Experience with Machine Learning approaches a plus
- Nice to have: Working knowledge of mixed-signal hardware design for embedded systems
- Strong proficiency in Python
- Strong oral and written communication skills
- Strong critical thinking skills and high attention to detail
- Ability to work under pressure in a startup environment
Top Skills
What We Do
BioIntelliSense is ushering in a new era of continuous health monitoring and clinical intelligence for Remote Patient Monitoring (RPM).
Our medical-grade Data-as-a-Service (DaaS) platform seamlessly captures multi-parameter vital signs, physiological biometrics, and symptomatic events through an effortless patient experience. The FDA-cleared, medical-grade BioButton® wearable device makes remote monitoring and early detection simple. Through the platform’s advanced analytics, clinicians have access to high-resolution patient trending and reporting to enable medical-grade remote care from in-hospital to home.
Learn how BioIntelliSense is redefining remote patient monitoring through medical-grade and cost-effective data services or visit our website at BioIntelliSense.com.









