Senior Algorithm Scientist

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.

• →Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
• →Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
• →Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes
• →Develop and maintain reusable data analysis tools, which can be deployed at scale
• →Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
• →Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)
• →Coordinate with cross-functional teams and overseas stakeholders

• PhD with 3+ years of relevant work experience, or MSc with 5+ years of relevant work experience, in biomedical engineering, electrical engineering, machine learning, or a related field (or equivalent practical experience).
• Strong programming skills in Python, including experience with collaborative development practices (e.g., Git, code reviews, CI).
• Hands-on experience with signal processing and time-series analysis, ideally on real-world biosignals and data from wearable devices (including hardware prototypes).
• Solid understanding of human physiology and the ability to apply engineering intuition to complex, noisy biosignals.
• A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.
• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders and to work effectively in cross-functional, fast-paced teams.