Job Description
The future of healthcare is here. Join us to shape the future of healthcare for patients and clinicians. BioIntelliSense is helping to decode human physiology and pioneer a new standard of proactive monitoring to improve healthcare outcomes and save lives.
Our FDA-cleared and award-winning BioButton® multiparameter wearables, BioHub™ gateways, BioMobile™ downloadable applications, BioCloud™ data services and the BioDashboard™ clinical intelligence system creates a comprehensive tech-enhanced solution that makes continuous monitoring reliable and scalable. Through our physiologic intelligence and AI-driven analytics, clinicians have access to high-resolution vital sign trending and data-driven insights to enable earlier detection of patient deterioration and proactive intervention for better, safer care.
We’re a remote-first, lean start-up environment and our global BioTeam colleagues are growth-oriented, collaborative and passionate about our mission and the future of BioIntelliSense. We thrive in a fast-paced environment and embrace challenges as opportunities to shape the future, together.
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The Sr. Embedded Algorithm Engineer will prototype and implement algorithms on BioIntelliSense’s devices, in order to extract core vital signs. Having high quality data at this stage is essential for the enablement of downstream clinical intelligence. Being able to successfully deliver on product requirements in a timely manner is necessary to the company’s success.
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 and optimize computations to meet processor and power constraints
-- Develop test protocols for data collection team, and perform QA to ensure the product meets the requirements
Contribute to team infrastructure:
-- Ideate new tools to automate algorithm benchmarking and testing to improve team efficiency
What We Are Looking For:
- PhD or MS in EE, CS, or related engineering field
- 5+ years experience in signal processing and algorithm design
- Experience with fixed-point time-series data
- Experience in embedded C, especially in resource constrained systems
- Experience with low-cost ARM processors, such as ARM Cortex M0/M4 or similar
- Strong proficiency in Python or Matlab
- Strong oral and written communication skills
- Strong critical thinking skills and high attention to detail
- Ability to work under pressure in a startup environment
$150,000 - $185,000 a year
Company Culture and Benefits
Our Workplace Culture:
We’re a dynamic remote-first environment, with offices in Golden, CO and Redwood City, CA and a talented, motivated team of colleagues globally. We’re passionate about BioIntelliSense and are motivated by our shared mission. We’re a collaborative and welcoming team who thrive in the fast-paced start-up environment and are eager to advance an excellent workplace together.
As One BioTeam, we set a high bar for ourselves and are focused on scaling our solutions and outperforming expectations.
Comprehensive Benefits Package:
· Robust Medical, Dental and Vision Plans
· STD, LTD, Insurance Plans
· HSA and Flexible Spending Accounts
· Safe Harbor 401(k) Plan with 3% Employer Contribution with immediate vesting
· FlexVTO (flexible vacation plans), Sick Leave, 11 Company Holidays
· Home Office Benefits Stipend
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
