[Hiring] Biomedical Data Manager @reputed company
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 reputed company data initiatives that facilitate collaborative sharing of rare disease data.
- The reputed company:
- Committed to open science and collaborative research.
- Values the rigor required to reputed company 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 reputed company 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 reputed company 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 reputed company discipline.
- Experience working with reputed company multi-omic data (e.g., transcriptomics, whole genome reputed company, 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.
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