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Senior Data Manager, Clinical Data Management

Alto Neuroscience
Remote friendly (Mountain View, CA)
United States
$140,000 - $160,000 USD yearly
Clinical Research and Development

Role Summary

We are looking for a Senior Clinical Data Manager who can independently lead data management for multiple cognitive and psychiatric clinical studies. This is a senior-level, hands-on role for someone who thrives in a fast-paced environment, can run studies end-to-end, and partners closely with cross-functional teams to deliver high-quality, analysis-ready data. Location: Remote or On-site (Mountain View, CA).

Responsibilities

  • Leading data management for multiple clinical trials with minimal oversight.
  • Serving as the primary CDM lead for internal teams, CROs, and external vendors.
  • Designing eCRFs and overseeing database build, UAT, and system release.
  • Developing and executing core DM documents (e.g., Data Management Plan, edit checks, reconciliation plans, CRF guidelines).
  • Managing data cleaning, query review, external data integration, and database quality checks.
  • Driving database lock and ensuring submission-ready data packages.
  • Collaborating with Clinical Ops, Biostats, Data Engineering, and Data Science to ensure data quality and readiness.
  • Ensuring compliance with ICH-GCP, FDA, GDPR, HIPAA, and internal standards.
  • Contributing to process improvement and helping scale CDM capabilities across Alto’s portfolio.
  • This role requires someone who is confident leading studies independently, setting timelines, managing vendors, and driving deliverables to completion.

Qualifications

  • 7+ years of clinical data management experience, including 3+ years in a senior/lead role.
  • Proven ability to independently run studies from protocol review through database lock.
  • Experience managing CROs, EDC systems, and external data vendors.
  • Strong understanding of CDISC standards (CDASH, SDTM) and DM best practices.
  • Experience in neuroscience, psychiatry, or cognitive health is a plus.
  • Excellent communication, problem-solving, and project management skills.
  • Familiarity with SAS, SQL, Python, or similar tools is beneficial.
  • A passion for advancing data-driven clinical research.
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