We are looking for an Algorithm Scientist to join our Future Physiology team. This role focuses on implementing and evaluating novel capabilities in multimodal sensing, combining signals from multiple biosensing pathways to support richer physiological insights. You will work hands-on with experimental sensing systems, analyzing data quality, testing prototype algorithms, and helping build the core signal pipelines for the next generation of health sensing at Oura.
What You Will Do:- 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.
This is a hybrid role out of our San Francisco office.
What you'll bring- 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.
Nice to have:- Direct experience working with consumer health products, wearable sensors, or digital health applications.
- Demonstrated ability to work with a fast, experimental pace-rapidly prototyping, testing, iterating, and adapting approaches based on empirical feedback.
- A self-starter attitude with a proactive approach to identifying data anomalies, unblocking technical hurdles, and initiating data-driven research directions.
BenefitsAt Ōura, we care about you and your well-being. Everyone here at Ōura has a ring of their own and we are continually looking to improve employee health.
What we offer:- Competitive salary and equity packages
- Health, dental, vision insurance, and mental health resources
- An Ōura Ring of your own plus employee discounts for friends & family
- 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
- Paid sick leave and parental leave
Ōura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
Region 1 $151,300.00- $178,000.00
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).
