Clinical Data Engineer (HealthTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Clinical Data Engineer (Python/SQL): Building and optimizing end-to-end data pipelines for clinical studies and regulatory trials with an accent on biometric sensor data and algorithm validation. Focus on developing scalable ETL processes, creating monitoring tools for live data, and validating physiological metrics like HR and HRV.
Location: Hybrid (Boston Area)
Salary: $110,000 – $130,000
Company
is a sleep fitness company redefining wellness through advanced hardware, software, and AI technology to optimize human sleep and recovery.
What you will do
- Build and maintain scalable ETL pipelines using Python, SQL, and APIs to ingest large-scale biometric and sensor data.
- Design data models and AWS storage workflows to support clinical studies and internal analytics.
- Analyze physiological and behavioral datasets to validate algorithm accuracy for metrics like HR, HRV, and sleep staging.
- Develop internal Python-based tools for visualizing and annotating biometric data to assist researchers and engineers.
- Collaborate cross-functionally with ML, Hardware, Firmware, and Product teams to test prototypes and inform feature development.
- Synthesize complex findings into reports and dashboards for both internal stakeholders and external audiences.
Requirements
- 2+ years of data engineering experience with health/physiology data in a research context.
- Advanced proficiency in Python (Pandas, NumPy) and SQL for time-series analysis and production scripting.
- Experience with signal processing and biometric data from wearable or embedded sensors.
- Ability to independently design and execute statistical validation frameworks, including correlation analyses and bootstrapping.
- Working proficiency with AWS and Snowflake for cloud-based data storage and archival.
- Must be based in the Boston Area for hybrid work.
Nice to have
- Experience with clinical or regulatory trial data (GCP/ICH guidelines) or supporting FDA submissions.
- Background in ML model validation or building structured training datasets for supervised learning.
- Domain knowledge in sleep science or wearables.
- Fluency with AI-assisted development tools (Claude, Cursor, ChatGPT, Copilot).
Culture & Benefits
- High-performance culture characterized by intensity, excellence, and ownership.
- Equity participation and periodic equity refreshes for all full-time team members.
- Comprehensive health, vision, and dental insurance for employees and dependents.
- Flexible PTO and paid parental leave.
- Every employee receives their own Pod.
- Commuter benefits to support the daily commute to the Boston office.
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