Clinical Data Engineer

Eight Sleep • Boston, MA

4d

About The Position

Eight Sleep is seeking a Clinical Data Engineer to own the end-to-end data pipelines for their clinical studies, including regulatory trials. This role involves creating monitoring tools for live data, collaborating with ML/AI teams for data storage and labeling, and aligning datasets from multiple sources for analysis. The engineer will also be responsible for data analysis for hardware validation studies (heart rate, heart rate variability, and presence) to aid in go/no-go decisions. This position acts as a liaison between internal teams and external clinical sites, focusing on improving study efficiency. The role operates at the intersection of data engineering, applied data science, and clinical research, working with raw sensor data and ground truth data to validate algorithms and make product decisions. The engineer will manage the entire data lifecycle from ingestion to analysis and communication, requiring close collaboration with hardware, software, product, and research teams.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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.
• 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.
• 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.
• 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.

Benefits

• Target Base Salary: $110,000 – $130,000
• Equity and performance-based incentives are a significant component of total compensation
• Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed