Senior Biomedical Data Manager

Sage Bionetworks

Senior Biomedical Data Manager supporting open science efforts at Sage Bionetworks. Collaborating with scientists to manage multimodal biomedical datasets while ensuring usability and governance.

Posted 5/23/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $107,500 - $141,200 per yearWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

biomedical data managementbiocurationdata modelsmetadata harmonizationontology developmentmulti-omic datametadata extractiondata validationdata documentationdata lifecycle management

Soft Skills

organizational skillstime-management skillswritten communicationverbal communicationcritical thinkinginclusive technical practicescuriositycollaborationguidanceproblem-solving

Certifications

Bachelor’s degree in biomedical researchBachelor’s degree in health informaticsBachelor’s degree in health information managementBachelor’s degree in library scienceBachelor’s degree in genomicsBachelor’s degree in neuroscienceMaster’s degree in biomedical researchMaster’s degree in health informaticsMaster’s degree in health information managementMaster’s degree in library science