Multimodal Biosignal Scientist

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 151,000 - 178,000; Full time

Benefits offered by this job

Ōura Ring

Employee discounts

Health insurance

Paid time off & holidays

Parental leave

Job summary

Ōura seeks an Algorithm Scientist to join its Future Physiology team in a hybrid San Francisco role. You will implement and evaluate algorithms for multimodal biosignals, analyze data quality, and help build core signal pipelines for next-gen health sensing.

You will collaborate with hardware, firmware, and software teams to prototype, test, and refine data-driven approaches, turning complex signals into actionable physiological insights.

Qualifications

• 2–4+ years of practical experience (including advanced degree research) in biosignal processing, time-series analysis, or sensor fusion.
• Strong expertise in Python and scientific computing libraries (NumPy, SciPy, pandas, scikit-learn, PyTorch/TensorFlow).
• Solid foundational understanding of human physiological systems and biosensing techniques.
• Practical experience working with noisy, real-world time-series data and designing robust preprocessing pipelines.
• Master’s degree or PhD in Biomedical Engineering, Signal Processing, Machine Learning, Electrical Engineering, or a related quantitative field.
• Strong analytical skills with the ability to clearly explain complex data, methodologies, and technical results to cross-functional peers.

Responsibilities

• Develop and evaluate algorithms: Implement, refine, and benchmark signal processing and machine learning algorithms for multimodal biosignals (e.g., PPG, motion, temperature, and related physiological modalities).
• Multimodal data integration: Apply practical methods for signal cleaning, noise reduction, feature extraction, and time-series data integration across novel modalities.
• Cross-functional support: Collaborate with hardware, firmware, and software engineering teams to analyze sensor performance and optimize data collection pipelines.
• Hands-on prototyping: Analyze data collected from prototype sensors, evaluation kits, and benchtop setups to assess algorithmic feasibility and signal integrity.
• Physiological exploration: Analyze time-series datasets to discover relationships between physical signal features and underlying physiological states.
• Technical documentation & reporting: Document technical findings, present experimental results, and communicate data-driven insights clearly to project leads and cross-functional teammates.

Skills

biosignal processing

time-series analysis

sensor fusion

Python

NumPy/SciPy/pandas

scikit-learn

PyTorch/TensorFlow

Education

Master’s degree or PhD in Biomedical Engineering or related field

Tools

NumPy

SciPy

pandas

scikit-learn

PyTorch

TensorFlow

Job description

Ōura seeks an Algorithm Scientist to join its Future Physiology team in a hybrid San Francisco role. You will implement and evaluate algorithms for multimodal biosignals, analyze data quality, and help build core signal pipelines for next-gen health sensing.

You will collaborate with hardware, firmware, and software teams to prototype, test, and refine data-driven approaches, turning complex signals into actionable physiological insights.