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 firstname.lastname@example.org 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
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
- Running data science experiments at scale on Google Cloud
- 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
- Being able to work under pressure in a startup environment