Senior Real-Time Biomedical Signal Processing Scientist

LifeLens Technologies, Inc.; Warminster Township (Bucks County); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

Dental & Vision Insurance

Paid Time Off

401(k)

Stock option incentive plan

FSA & dependent care

Job summary

LifeLens Technologies, Inc. in Ivyland, PA is seeking a Senior Biomedical Signal Processing Scientist to develop algorithms for multi-sensor wearables (PPG, ECG, accelerometry) for clinical and consumer health measurements.

You will own algorithms from prototype through validation and regulatory submission, collaborating with hardware, firmware, and clinical teams. You will also help shape measurements offered for consumer products, adapt validated algorithms for real-time device use,

Qualifications

• PhD with 2+ years of relevant experience or master’s with 5+ years.
• Experience with PPG, ECG, SpO2, respiration, or biosignals preferred.
• Knowledge of FDA design controls for medical devices is a plus.

Responsibilities

• Designing and validating algorithms for physiological measurements from multiple sensors.
• Conducting offline analyses of large clinical/field datasets.
• Developing real-time methods for device use and working with firmware engineers.
• Designing validation studies against clinical references and documenting results.
• Writing efficient, tested, and reproducible code.
• Mentoring junior team members and communicating results to diverse audiences.

Skills

Digital signal processing

Time-series analysis

Python

MATLAB

Statistics

Machine learning basics

Data visualization

Problem solving

Communication skills

Education

PhD in biomedical engineering / electrical engineering / neuroscience / physics or related

MS in a related field

BS in a related quantitative field

Tools

C

Job description

LifeLens Technologies, Inc. in Ivyland, PA is seeking a Senior Biomedical Signal Processing Scientist to develop algorithms for multi-sensor wearables (PPG, ECG, accelerometry) for clinical and consumer health measurements.

You will own algorithms from prototype through validation and regulatory submission, collaborating with hardware, firmware, and clinical teams. You will also help shape measurements offered for consumer products, adapt validated algorithms for real-time device use,