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Sage Bionetworks

Better Science Together

Senior Biomedical Data Manager

Data ScientistData ScientistFull TimeRemoteSeniorTeam 51-200Since 2009H1B SponsorCompany SiteLinkedIn

Location

Washington

Posted

8 days ago

Salary

$107.5K - $141.2K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglish

Job Description

Senior Biomedical Data Manager

Sage Bionetworks

• Partners with scientists, engineers, and community collaborators to curate and coordinate multimodal biomedical datasets. • Guides researchers through data ingestion into data hubs. • Supports the development of data models and annotations for specialized biomedical data types. • Contributes to data governance and workflow design that enable discovery-driven science. • Applies metadata standards and contributes to improving data management plans across research projects. • Independently manages datasets and ensures appropriate metadata documentation and lifecycle management. • Identifies and resolves inconsistencies to validate datasets and metadata and ensure research readiness. • Applies tools and automation techniques, including AI to improve efficiency of data management tasks such as metadata extraction, validation, and documentation. • Coordinates with engineering, governance, and scientific teams to implement consistent data standards across projects. • Provides guidance on data-sharing tools, standards, and best practices for contributors.

Job Requirements

  • 5+ years of experience in biomedical data management/biocuration with a Bachelor’s degree in biomedical research, health informatics, health information management, library science, genomics, neuroscience, or a related discipline.
  • Familiarity with biomedical data management/biocuration and an advanced degree (Master’s or PhD) in biomedical research, health informatics, health information management, library science or a related discipline.
  • Experience working with complex multi-omic data (e.g., transcriptomics, whole genome sequencing, proteomics, metabolomics, epigenetics, clinical/phenotypic data).
  • Experience working on multidisciplinary teams.
  • Experience with biomedical data models, metadata harmonization, and ontology development or refinement.
  • Experience using project tracking tools such as Jira.
  • Familiarity with multiple disease domains (e.g., rare disease, neurodegenerative disease, cancer, immunology).
  • Proficiency in data management tools and techniques.
  • Strong organizational and time-management skills.
  • Clear and effective written and verbal communication skills.
  • Demonstrated critical thinking and thoughtful, inclusive technical practices.
  • Curiosity about and critical assessment of AI tools to support data management and analysis work.
  • Familiarity with using code to manage data and use of version control systems.

Benefits

  • Health & Wellness: Comprehensive medical, dental, vision, life, AD&D, and long-term disability.
  • Future Security: Robust retirement plan and flexible spending accounts (FSA).
  • Work-Life Harmony: Paid time off and flexible work arrangements.

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