Senior Biomedical Data Manager

Sage Bionetworks

Senior Biomedical Data Manager supporting open science efforts at Sage Bionetworks. Collaborating on biomedical data management and facilitating data integration for various disease domains.

Posted 5/21/2026full-timeRemote • 🇺🇸 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.
Ensures shared datasets are usable, well-governed, and scientifically valuable while adapting to evolving project needs and contributing to a culture of learning and collaboration.

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.

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Hard Skills & Tools

biomedical data managementbiocurationdata modelsmetadata harmonizationontology developmentmulti-omic datatranscriptomicswhole genome sequencingproteomicsmetabolomics

Soft Skills

organizational skillstime-management skillswritten communicationverbal communicationcritical thinkinginclusive technical practicescuriositycollaboration