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Clinical Data Manager

Whoop
Boston, MAonsiteMar 6, 2026·Posted 1 month ago
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Domain

Tech Stack

SQLSnowflakeLookerModeTableau

Must-Have Requirements

  • Bachelor's degree in Life Sciences, Clinical Research, Biomedical Sciences, Data Science, or related field
  • 5+ years of clinical data management experience
  • Experience designing and building EDC systems including CRF development and edit check specification
  • Experience supporting database lock and reconciliation processes
  • SQL proficiency
  • Experience querying modern data warehouses such as Snowflake
  • Understanding of CDISC, GCP, ICH, and FDA regulatory frameworks
  • Experience working in cross-functional environments with engineering, analytics, and clinical teams

Nice to Have

  • -Experience in digital health, medical devices, or decentralized clinical trials
  • -Experience with wearable devices or digital biomarkers
  • -Experience building study-level dashboards (Looker, Mode, Tableau)
  • -Experience with Software as a Medical Device (SaMD) development
  • -Experience with regulated medical device programs

Description

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and healthspan. We empower our members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.

As the Clinical Data Manager, you will play a foundational role in building and scaling WHOOP’s clinical data governance function. You will lead study-level data architecture, compliance logic, data quality oversight, and database lock readiness for WHOOP-sponsored clinical studies. Your work will ensure that clinical datasets are accurate, traceable, inspection-ready, and aligned with scientific and regulatory objectives.

Your expertise will directly enable WHOOP’s ability to validate digital biomarkers, support regulatory pathways, and maintain high standards of data integrity in a fast-paced consumer wearable environment.

RESPONSIBILITIES

Lead study-level data governance for WHOOP-sponsored clinical studies, ensuring data integrity, traceability, and inspection readiness from study startup through database lock. Design and build eCRFs and edit checks within EDC systems, aligning data collection with protocol-defined endpoints and statistical analysis requirements. Develop and document data review plans, reconciliation frameworks (e.g., AE/device/ePRO), and query management workflows. Define and formalize study-level compliance logic in dataset terms, including missingness definitions, time-window logic, adherence thresholds, and source-of-truth hierarchy. Build SQL views off curated Snowflake tables to support study-level governance dashboards and compliance monitoring. Develop and maintain study-level data quality dashboards, and lead weekly or bi-weekly data review meetings to monitor query aging, compliance trends, and reconciliation status. Partner with Data Engineering to ensure accurate API ingestion, pipeline stability, timestamp harmonization, and curated table integrity. Oversee query generation, discrepancy tracking, reconciliation oversight, and documentation required for database lock. Certify database lock readiness, confirm reconciliation completion, document missing data justification, and deliver clean operational datasets to Analytics and Data Science. Contribute to the development and continuous improvement of SOPs, templates, and scalable clinical data processes within WHOOP.

QUALIFICATIONS

Bachelor’s degree in Life Sciences, Clinical Research, Biomedical Sciences, Data Science, or related field. 5+ years of experience in clinical data management, preferably in digital health, medical devices, or decentralized clinical trials. Demonstrated experience designing and building EDC systems, including CRF development and edit check specification. Strong experience supporting database lock and reconciliation processes. Proficiency in SQL (required), with experience querying modern data warehouses such as Snowflake or equivalent. Experience working in cross-functional environments involving engineering, analytics, and clinical teams. Strong understanding of CDISC, GCP, ICH, FDA, and related regulatory frameworks applicable to clinical research and medical devices. Experience with wearable devices, digital biomarkers, or remote/virtual clinical trial designs preferred. Experience building study-level dashboards (Looker, Mode, Tableau, or similar tools) preferred. Experience supporting Software as a Medical Device (SaMD) development or regulated medical device programs preferred.

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