[Hiring] Biomedical Data Manager @Sage Bionetworks

Role Description We are hiring a Biomedical Data Manager to support open science efforts across the Rare Disease team, empowering community-driven efforts such as the Neurofibromatosis Open Science Initiative and related data initiatives that facilitate collaborative sharing of rare disease data.

• The Mindset:
• Committed to open science and collaborative research.
• Values the rigor required to make shared data usable and reusable.
• Adaptable and comfortable working across disciplines.
• Motivated to improve workflows through emerging technologies, including AI tools.
• Scope:
• 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.
• What Success Looks Like:
• Enjoys collaborating with researchers across diverse domains.
• Brings strong attention to detail in curating, annotating, and organizing biomedical data.
• Helps ensure shared datasets are usable, well-governed, and scientifically valuable.
• Adapts to evolving project needs and contributes to a culture of learning and collaboration.

Qualifications

• 2+ years of experience in biomedical data management/biocuration.
• 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.
• 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.

Requirements

• Familiarity with AWS or other cloud-based resources.
• Experience presenting work to scientific audiences.
• Extended periods of sitting at a desk and using a computer.
• Repeated wrist, hand, and finger movements.
• Requires clear vision for tasks like data analysis, transcribing, computer use, and reading.
• Occasionally lifting or moving objects weighing up to 10 pounds.
• Able to work effectively under deadlines.
• Strong problem-solving and analytical skills.
• Attention to detail and accuracy.
• Flexibility to adapt to changing environments, priorities, and multitask.
• Travel is required a minimum of two times per year for on-site events in Seattle, WA.
• Effective verbal and written communication skills.
• Works well in a team and maintains professionalism.
• Follows company policies, procedures, and relevant laws and regulations.

Benefits

• Comprehensive medical, dental, vision, life, AD&D, and long-term disability.
• Robust retirement plan and flexible spending accounts (FSA).
• Paid time off and flexible work arrangements.