Role Description We are looking for a Health Science Research Intern to join the Oura Health Science team. Our mission is to position Oura as a cornerstone of next-generation health by accelerating high-quality research and clinical studies, R&D and science dissemination, and deepening our footprint in research and clinical ecosystems. As an intern on this team, you will contribute to study design, evidence generation, and documentation that support current and emerging Health Science priorities. This is a remote U.S. role targeting a June 15 start date for approximately 12 weeks. What you will do - Contribute to the design and planning of clinical and real-world evidence studies, including helping to translate scientific questions into feasible study approaches. - Create and maintain scientific and operational documentation and tools to support Oura’s clinical and real-world evidence studies. - Support data-driven insights generation through organizing, summarizing, and describing health-related data under the guidance of experienced scientists. - Participate in cross-functional collaboration with partners such as Research Operations, Product, Regulatory, and Data Science by sharing clear, concise updates on your work. - Help maintain high standards of scientific rigor, ethics, and participant-centric thinking in all aspects of the work you support. Qualifications - Currently pursuing or recently completed a Master’s or PhD in a relevant field such as Epidemiology, Biostatistics, Public Health, Psychology, Neuroscience, Behavioral or Health Sciences, Biomedical Engineering, or related disciplines with a focus on health research, digital health, or clinical/observational studies. - Experience with literature reviews and synthesis of clinical or epidemiologic endpoints. - Experience designing surveys and/or working with questionnaires or patient-reported outcomes. - Prior experience drafting or supporting study protocols, statistical analysis plans, or IRB submissions. - Basic proficiency in R, Python, or SQL for data wrangling and descriptive analysis; familiarity with interpreting summary statistics, inferential statistics, and visualizations. - Ability to translate technical details into clear, concise writing and visuals for cross-functional audiences; attention to detail in documentation and data handling. - Demonstrated interest in digital health, wearables, or real-world evidence, and enthusiasm for contributing to rigorous, participant-centric study design. 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. - Competitive salary - Health, dental, vision insurance, and mental health resources - An Oura Ring of your own during your tenure - 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off *prorated - Paid sick 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 $50/hr - $60/hr - Region 2 $46/hr - $55/hr - Region 3 $44/hr - $50/hr - A recruiter can determine your Region based on your US location. Company Description 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.

Role Description EVC seeks a candidate for the position of Research Analyst working under the supervision of the Director of Quantitative Research. The role involves providing coding, analytical, and data management support for research projects focused on voter registration, including for randomized controlled trials and pilot programs studying innovative new VR tactics. The Research Analyst will also help manage data for EVC’s digital VR programs. The Research Analyst role is a full-time, benefits eligible position, but is a temporary role from June - November 2026 with possible extension depending on funding. What You Will Do in Your Role - Monitor and address quality issues in research. - Design and implement procedures for discovering and resolving quality issues in research, such as: - Improper data formatting - Missing data - Data entry mistakes - Failed data syncs - Monitor incoming data to proactively identify potential errors in implementation of research protocols for randomized controlled experiments. - Write advanced SQL queries to investigate data quality and experimental protocol errors. - Support tracking and responding to research quality flags and mistakes in experiment implementation. - Communicate with internal and external staff to alert them to potential issues or when more information is needed to clarify research concerns. - Track and move data between systems. - Support the evaluation and piloting of new tools and platforms, particularly digital ad tools, by: - Independently learning about and becoming proficient in the data functionalities and data transfer & transformation requirements for each new tool. - Manage the flow of research and digital data between tools and databases, by either: - Loading flat files or - Scoping out requirements that EVC’s data engineering team can use in creating ongoing data pipelines. - Provide a technical perspective to help the Research Department evaluate new tools based on whether a new tool’s data capabilities and outputs are compatible with existing systems and meet long-term analytical needs. - Clean, transform, and analyze data: - Clean and standardize data in preparation for research reports that include descriptive analyses and statistical modeling. - Perform descriptive analysis of data from pilot programs and surveys. - Analyze digital program data to generate actionable insights. - Contribute to dashboards, memos, and presentations by building summary statistics tables, creating data visualizations, and writing up key outcome metrics/results. - Support the development of a tidy codebase and reproducible research process: - Document processes and data cleaning steps taken. - Build on prior codebase which is primarily written in R and SQL, with some Python. - Use git and Github to integrate new code into existing Research Department systems. - Create reusable code and functions where possible to streamline future data cleaning and analysis work, such as through contributions to EVC’s internal R package. Core Competencies - Growth mindset: Demonstrated ability to take and receive feedback professionally and gracefully from peers, staff, and supervisors. - Relentlessly goal-oriented: Enjoys working toward and achieving ambitious goals; willing to overcome any obstacle to meet goals with a proven track record of creating and managing comprehensive strategic goals. - Cultural competency: Able to build relationships and collaborate with colleagues, partners, and stakeholders across multiple lines of identity difference. - Remains focused on problem-solving while balancing multiple priorities within a constantly evolving political environment: Demonstrated ability to stay focused on finding solutions amidst shifting priorities in the dynamic political landscape. Functional Competencies Required Qualifications - High level of proficiency in using SQL to monitor, transform, and analyze complex data. - Minimum of 2 years of work experience using R (preferred) or Python to perform data cleaning tasks on messy real-world datasets. - Experience in managing data workflows across multiple tools or platforms. - Experience writing and editing clear, clean code, and a willingness to use version control systems like git and Github. - Meticulous attention to detail for catching data quality issues. - Communication skills for conveying technical concepts to non-technical audiences. - Interest in being a member of a diverse, multidisciplinary team. Helpful, But Not Required - Experience working with voter file data and/or data from civic engagement/campaign field programs. - Knowledge of both R and Python. - Experience contributing to software packages, either R packages or in other languages. - Familiarity with randomized controlled trials, either through work experience or coursework in statistics. - Experience analyzing data from digital programs. - Experience using digital advertising tools and/or digital organizing tools. - Familiarity with Jira. - Experience with Google’s Looker Data Studio. - Experience using Docker, Bash, and AWS for cloud computing and orchestrating parallel workloads. Performance Metrics & Review Schedule Your first review will be 90 days after your start date, then a six-month check-in and a development review annually for the duration of your employment. If the results of a reviews are unsatisfactory, more frequent reviews may be scheduled to monitor improvements. If assigned improvement goals are not reached, a warning schedule may be implemented including the possibility of termination. Benefits - Flexible Paid Time Off. - 100% cost coverage of employee health benefit premiums. - Dedicated weekly “Flex Day.” - 401K with an automatic employer contribution regardless of employee contribution level. - $1000/yr toward Professional Development. - Free virtual therapy. - Stipend for ergonomic office setups. - Generous extended medical and personal leave. Vaccine Requirement Under applicable legal guidance, an employer like VRP may require its employees to be vaccinated against COVID19. The CDC has advised that vaccines are one of the most effective tools to protect employee health and prevent disease. The CDC further strongly recommends that all individuals eligible to receive a booster shot promptly do so. VRP requires all employees to be “fully vaccinated” with their vaccines against COVID19. “Fully vaccinated” means a person has received all recommended COVID19 vaccines.

• You will contribute to clinical trial monitoring activities, taking responsibility for your deliverables and working collaboratively. • Conducting site qualification, initiation, monitoring, and close-out visits for clinical trials. • Ensuring protocol compliance, data integrity, and patient safety throughout the trial process. • Collaborating with investigators and site staff to facilitate smooth study conduct. • Performing data review and resolution of queries to maintain high-quality clinical data. • Contributing to the preparation and review of study documentation, including protocols and clinical study reports

• Conducting site qualification, initiation, monitoring, and close-out visits for clinical trials. • Ensuring protocol compliance, data integrity, and patient safety throughout the trial process. • Collaborating with investigators and site staff to facilitate smooth study conduct. • Performing data review and resolution of queries to maintain high-quality clinical data. • Contributing to the preparation and review of study documentation, including protocols and clinical study reports