Data Science Engineer
Posted on Feb 20, 2021 by BioIntelliSense , Inc.
BioIntelliSense is ushering in a new era of continuous health monitoring and clinical intelligence for Remote Patient Monitoring (RPM) and Screening (COVID-19/Infection). 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 BioSticker™ and BioButton™ devices make remote monitoring and early detection simple. Through the platform's advanced analytics, clinicians, patients, and employers will now have access to high-resolution patient trending and reporting to enable medical grade care at home, and medical grade screening in the office, school, or residence.
For more information on how BioIntelliSense is redefining remote patient monitoring through medical-grade and cost-effective data services, please contact us at or visit our website at BioIntelliSense.com.
Roles & Responsibilities:
We are looking for top talent anywhere in the U.S.A, with a preference for the Denver, CO, or Northern California areas for a role that is work from home, with occasional travel to meet with the engineering team (once the pandemic is under control).
We are seeking a Data Science Engineer to help spearhead our catalogue of cloud-based BioSignatures for early detection and screening for various disease states and physiological deterioration.
The ideal candidate will have a mix of research with a solid track record of engineering execution with at least 7+ years of experience as a full-stack data scientist with Google Cloud or AWS expertise. Experience with time-series sensor data at scale along with sensor fusion algorithms background.
This is a unique opportunity to apply your experience, roll-up-your-sleeves and significantly contribute to the rapid development, growth and expansion of BioIntelliSense in delivering clinical intelligence, globally.
**BioIntelliSense is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran, disability status or any other status protected under federal, state or local law.
- Developing ML models from time-series sensor and bio-signal data
- Running data science experiments at scale on Google Cloud infrastructure
- Mentoring junior members of team in technical areas
- Developing and reviewing system architecture to optimize the balance across cloud vs. edge processing.
Minimum Experience, Skills, and Education:
- BS in related field
- Masters or Ph.D. helpful, but not required
- 7+ years of cloud-based data science or algorithm experience
- Being able to work under pressure in a startup environment