Algorithm Scientist
About The Position
Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 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.
Requirements
- 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 Haves
- 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.
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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
