• Collaborate with client teams to design and implement generative AI solutions. • Establish and promote best practices within the community. • Evaluate and select appropriate AI tools and machine learning models for specific projects.

• Create and/or review study-specific electronic or paper Case Report Forms (CRFs) using prior knowledge, protocol-specific information, and departmental standards. • Work efficiently to incorporate core clinical team input and produce CRFs in a timely manner. • Configure, migrate, and test electronic data capture (EDC) databases based on internal procedures, study requirements, and system best practices. • Serve as a database manager for the study-specific clinical team, including the compilation of edit checks. • Develop database requirements for use by EDC vendors. • Serve as a study database manager and work with vendors to obtain deliverables in a timely manner. • Create and/or review study-specific data management and database documentation, which may include: Data Management Plan CRF Completion Guidelines Coding Guidelines Annotated CRFs Edit Check Specifications. • Attend study-specific team meetings and produce status reports and requested metrics, which may include query information or data trends. • Perform data review and query generation/closure. • Perform coding of verbatim terms such as adverse events and concomitant medications. • Collaborate with medical scientists for coding, consistency, review, and approval. • Incorporating coding files into the clinical database. • Participate in the development of new processes or revision of existing processes. • Train internal colleagues in clinical data management in either informal or formal settings as needed. • Train Investigators and/or Study Coordinators at Investigator Meeting on the CRFs, the EDC system, and the CRF completion guidelines as needed. • Provide data management expertise and support to the clinical teams using data management best practices. • Provide analytical insight into data management strategies and advise the internal team with tactical strategies accordingly. • As necessary, provide work direction, guidance, mentoring, influence, and support to junior staff. • Train junior staff in more complex clinical data management processes. • Adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of templates. • Perform ad-hoc and cross-functional projects assigned to support business needs and provide developmental opportunities.

• Create and/or review study-specific electronic or paper Case Report Forms (CRFs) using prior knowledge, protocol specific information and departmental standards. • Work efficiently to incorporate core clinical team input and produce CRFs in a timely manner. • Configure, migrate, and test electronic data capture (EDC) databases based on internal procedures, study requirements and system best practices. • Serve as database manager for the study specific clinical team, including compilation of edit checks. • Develop database requirements for use by EDC vendors. • Serve as study database manager and work with vendors to obtain deliverables in a timely manner. • Create and/or review study-specific data management and database documentation, which may include: Data Management Plan CRF Completion Guidelines Coding Guidelines Annotated CRFs Edit Check Specifications • Attend study-specific team meetings and produce status reports and requested metrics, which may include query information or data trends. • Perform data review and query generation/closure. • Perform coding of verbatim terms such as adverse events and concomitant medications. • Collaborate with medical scientists for coding, consistency, review and approval. Incorporating coding file into clinical database. • Participate in the development of new processes or revision of existing processes. • Train internal colleagues in clinical data management in either informal or formal settings as needed. • Train Investigators and/or Study Coordinators at Investigator Meeting on the CRFs, the EDC system, and the CRF completion guidelines as needed. • Provide data management expertise and support to the clinical teams using data management best practices. • Provide analytical insight into data management strategies and advise internal team with tactical strategies accordingly. • As necessary, provide work direction, guidance, mentoring, influence and support to junior staff. • Train junior staff in more complex clinical data management processes. • Perform other special projects and duties as requested.

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 a Data Scientist to join our Movement Squad with a focus on unlocking new movement insights through advanced hardware sensing. This squad is responsible for translating sensor capabilities into meaningful, high-impact features for athletes and highly active members aiming to optimize their physical performance. In this role, you will work at the intersection of hardware, sensing, and algorithm development, where you will build next-generation movement and running dynamics algorithms and investigate how new sensing modalities can improve accuracy and robustness. Your work will directly shape how new hardware capabilities translate into actionable insights and personalized guidance for our members. This is a remote role based in the U.S. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings, and employee hubs including New York City, Boston, Los Angeles, Seattle, and more. What You Will Do - Develop Movement Algorithms: Contribute to the research, prototyping, and development of movement and activity algorithms, with a focus on leveraging existing and emerging hardware sensing capabilities. - Translate Sensor Data into Insights: Design, build, and deploy production-grade models and analytical pipelines that translate raw sensor data into accurate and actionable movement metrics and personalized insights for Oura members. - Collaborate on Hardware<>Algorithm Co-Design: Partner closely with Hardware, Firmware, and Engineering teams to evaluate new sensing modalities, understand sensor limitations and tradeoffs, and influence how hardware capabilities translate into reliable movement algorithms. - Influence Product Direction: Collaborate with Product, Engineering, and Design to shape the technical vision and roadmap for movement sensing and tracking, ensuring solutions are scientifically sound and deliver meaningful member value. Requirements We would love to have you on our team if you have: - MSc degree with 2+ years of relevant industry experience or a PhD in a related field (e.g., data science, biomechanics, signal processing, or machine learning). - Experience developing and deploying data science or machine learning solutions to production as part of a cross-functional team. - Hands-on experience working with time-series data from multi-axis accelerometers, gyroscopes, or similar MEMS sensors, ideally in wearables, biomechanics, or motion analysis contexts. - Strong understanding of sensor data characteristics, noise sources, and real-world constraints, and experience designing algorithms that are robust to these challenges. - Expert-level proficiency in Python, including deep knowledge of scientific/ML libraries, and experience building robust, scalable, and production-ready code. - Expert-level proficiency in SQL and data wrangling, and comfort contributing to and maintaining the data pipelines for the features you develop. - A solid understanding of experimental design, causal inference, and validation methodologies for ML-powered product features. - Familiarity with end-to-end development using AWS (or a similar cloud service). - Experience working with international and distributed teams. - Prior experience in the athletic performance technology space or wearable sensing. Nice to Have - A background in biomechanics, kinesiology, or sports science. - Experience with MLOps principles and tools for model deployment and monitoring. - Experience with hardware development. - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Benefits At Oura, we care about you and your well-being. Everyone here at Oura 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 Oura 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 Oura 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 - $178,000 - Region 2 $138,550 - $163,000 - Region 3 $127,500 - $150,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: - Our jobs are listed only on the ŌURA Careers page and trusted job boards. - We will never ask for personal information like ID or payment for equipment upfront. - Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.