Biomedical Data Manager

🕒 Junho 4

☕ Washington – Remoto

☕ Washington – Remote

💵 $93.300 - $121.700 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

📊 Cientista de Dados

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Sage Bionetworks

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2009

🧬 Biotecnologia

🤖 Inteligência Artificial

🤝 Sem Fins Lucrativos

Biotechnology • Artificial Intelligence • Non-profit

Sage Bionetworks é uma organização sem fins lucrativos líder em ciência aberta, que desenvolve e opera plataformas de dados e ferramentas orientadas pela comunidade para acelerar a pesquisa e descoberta biomédica. A organização permite o compartilhamento seguro de dados, a reutilização de grandes conjuntos de dados e a análise colaborativa—frequentemente utilizando aprendizado de máquina e inteligência artificial—para avançar na compreensão de doenças, biomarcadores e respostas terapêuticas. A Sage enfatiza a colaboração radical, a transparência e a infraestrutura (por exemplo, a plataforma Synapse e um cliente Python) para apoiar pesquisadores, desafios e portais em uma ampla gama de domínios biomédicos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.