Biomedical Data Manager

🔥 0 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $93.3k - $121.7k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sage Bionetworks

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🧬 Biotechnology

🤖 Artificial Intelligence

🤝 Non-profit

Biotechnology • Artificial Intelligence • Non-profit

Sage Bionetworks is a nonprofit leader in open science that builds and operates data platforms and community-driven tools to accelerate biomedical research and discovery. The organization enables secure data sharing, large-scale dataset reuse, and collaborative analysis—often using machine learning and AI—to advance understanding of diseases, biomarkers, and therapeutic responses. Sage emphasizes radical collaboration, transparency, and infrastructure (e. g. , the Synapse platform and a Python client) to support researchers, challenges, and portals across a wide range of biomedical domains.

📋 Description

• 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. • Adapts to evolving project needs and contributes to a culture of learning and collaboration.

🎯 Requirements

• 2+ 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.