Analyze data from wearable sensors to develop digital biomarkers using methodologies from signal processing and AI.
Prepare and process raw sensor data streams to extract clinically relevant and novel features.
Build novel or enhance existing AI algorithms or time-series models for digital endpoint development and validation.
Build sensor data analysis and modeling pipelines to develop re-usable software assets.
Partner with cross-functional teams to execute on developing, adapting, and delivering digital health solutions.

Requirements

A recent Ph.D. degree within 3 years in computer science, electrical engineering, biomedical engineering, or related discipline.
Extensive experience in analyzing high frequency data from wearable biosensors (e.g., accelerometer, ECG, PPG).
Strong background and proven experience in developing or implementing advanced state of the art AI and signal processing methods.
Experience with large scale data processing and integrating multi-modal datasets.
Proficiency in one or more programming languages such as Python, R, MATLAB and writing re-usable and well documented code.
Demonstrated scientific excellence as measured by publications and presentations.
Excellent interpersonal, communication, and presentation skills.
Ability to work in a dynamic and collaborative environment.

Benefits

medical, dental, vision, life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysissignal processingAI algorithmstime-series modelsdata processingmulti-modal datasetsPythonRMATLABsoftware development

Soft Skills

interpersonal skillscommunication skillspresentation skillscollaborationadaptability

Certifications

Ph.D. in computer sciencePh.D. in electrical engineeringPh.D. in biomedical engineering