Clinical Data Engineer

Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company’s Most Innovative Companies in 2019, 2022, 2023, 2026, and twice named to TIME’s “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in the extra effort — not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier — this isn’t it. The Role We’re looking for a Clinical Data Engineer who will own the end-to-end data pipelines for our clinical studies, including regulatory trials. You will create monitoring tools for tracking live data out in the field that can alert the research associates to any issues, work closely with ML/AI to ensure that incoming data are stored in formats that are easily ingestible and clearly labeled, and work to align datasets with multiple incoming sources of data for analysis by our team. Additionally, you will own the data analysis for our hardware validation studies (heart rate, heart rate variability, and presence), helping to make key go/no-go decisions for the company. You’ll be the connective tissue between our internal teams and the external clinical sites, and can continuously think outside the box to make our studies more efficient for the research associates and data scientists. You will operate at the intersection of data engineering, applied data science, and clinical research by working directly with raw sensor data from all of our products, along with the ground truth data to validate our algorithms to make key product decisions. You will own the end-to-end data lifecycle, from ingestion to analysis to communication. This role is highly cross-functional with hardware, software, product, and research teams. Data Engineering & Infrastructure Build and maintain scalable ETL pipelines using Python, SQL, and APIs to ingest and process large-scale biometric and sensor data Design data models and workflows that support clinical studies, internal tools, and downstream analytics Manage data storage, retrieval, and archival systems in AWS, including handling long-term access and data restore workflows Ensure data integrity, reproducibility, and proper versioning across evolving datasets and analyses Leverage AI‑assisted tools to accelerate data analysis, debugging, and code development, improving iteration speed and reducing manual effort Clinical Analytics & Algorithm Validation Analyze sleep, physiological, and behavioral datasets to evaluate product performance and validate new features Perform statistical analyses (e.g., correlation, error metrics, bootstrapping, validation frameworks) to assess algorithm accuracy and clinical outcomes Develop evaluation pipelines for metrics like HR/HRV accuracy, presence detection, and sleep staging Build tools and structured datasets to support training and validation of machine learning models, integrating multiple data sources for supervised learning Investigate edge cases, sensor issues, and data anomalies to improve model robustness Internal Tooling & Visualization Maintain and extend Python-based applications for visualizing and annotating biometric data Develop interactive tools for researchers and engineers to inspect sessions, validate signals, and debug algorithms Streamline workflows for clinical teams to reduce manual effort and improve reproducibility Cross-Functional Collaboration & Communication Partner with Machine Learning, Hardware, Firmware, and Product teams to build algorithms and test prototypes Work with Growth and Product teams to explore user behavior and inform feature development Synthesize findings into reports, dashboards, and presentations for internal teams and external audiences Contribute to abstracts, posters, and conference presentations; communicate uncertainty, methodology, and tradeoffs clearly to guide decision‑making What You’ll Need to Succeed 2+ years of data engineering experience with health/physiology data in a research context — you’ve built ETL pipelines around messy, real‑world biometric or sensor datasets, not just clean CSVs Advanced Python and SQL proficiency — Pandas, NumPy, time‑series analysis, and production‑quality scripting are daily tools, not occasional ones Intermediate‑to‑advanced signal processing and biometric data experience — you’ve worked directly with heart rate, HRV, sleep staging, or similar physiological signals from wearable or embedded sensors Intermediate‑to‑advanced statistical modeling and validation skills — you can design and execute correlation analyses, error metrics, bootstrapping, and validation frameworks independently Working proficiency with AWS and Snowflake — you’ve built or maintained cloud‑based data storage, retrieval, and archival systems, not just queried them Bonus Points Experience with clinical or regulatory trial data, familiarity with GCP/ICH guidelines, or prior work supporting FDA submissions Background in ML model validation or building structured training datasets for supervised learning Fluency with AI‑assisted development tools (Claude, Cursor, ChatGPT, Copilot) as part of your daily workflow Domain knowledge in sleep science, biometrics, or wearable/embedded sensor data Experience integrating internal and third‑party APIs into unified data pipelines Strong cross‑functional communication skills — ability to translate complex analyses into clear insights for non‑technical stakeholders Compensation Target Base Salary: $110,000 – $130,000 Compensation is based on experience, qualifications, and market benchmarks for the Boston metro area. Equity and performance‑based incentives are a significant component of total compensation at Eight Sleep. Why Join Eight Sleep? Innovation in a Culture of Excellence Join us in a workplace where innovation isn't just encouraged – it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate Responsibility and Accelerated Career Growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast‑paced environments aiming for high standards. Collaboration with Exceptional Talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast‑paced environment. Equitable Compensation and Continuous Equity Investment We extend equity participation to every full‑time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you — perfectly aligning your achievements with the broader triumphs of the company. Your Own Pod - and Other Great Benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave List of benefits may vary depending on your location. At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. #J-18808-Ljbffr eightsleep