Biomedical Data Manager

At Sage Bionetworks, we believe in the power of open science and interdisciplinary collaboration to create a new vision of human health. We strive for actionable biomedical insights through the responsible sharing and reuse of data, all guided by our deep scientific expertise and diligent governance controls.

We are hiring multiple Biomedical Data Managers to support open science efforts across two critical initiatives at Sage Bionetworks: 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-and the Advanced Data Analytics team, which applies a variety of computational approaches to accelerate re-use of shared biomedical data for various disease domains.

What we’re looking for: 

• The Mindset: Is committed to open science and collaborative research, and values the rigor required to make shared data usable and reusable. You are adaptable, comfortable working across disciplines, and 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. You will guide researchers through data ingestion into data hubs, support the development of data models and annotations for specialized biomedical data types, and contribute to data governance and workflow design that enable discovery-driven science.
• What Success Looks Like: Successful candidates enjoy collaborating with researchers across diverse domains and bring strong attention to detail in curating, annotating, and organizing biomedical data. They help ensure shared datasets are usable, well-governed, and scientifically valuable, while adapting to evolving project needs and contributing to a culture of learning and collaboration.

Key Capabilities

What you’ll do:

• Data Standards and Plans: Applies metadata standards and contributes to improving data management plans across research projects.
• Data Management and Maintenance: Independently manages datasets and ensures appropriate metadata documentation and lifecycle management.
• Data Validation and Harmonization: Identifies and resolves inconsistencies to validate datasets and metadata and ensure research readiness.
• Data Operations: Applies tools and automation techniques, including AI to improve efficiency of data management tasks such as metadata extraction, validation, and documentation.
• Collaboration and Coordination: Coordinates with engineering, governance, and scientific teams to implement consistent data standards across projects.
• Community and Support: Provides guidance on data-sharing tools, standards, and best practices for contributors.

How you’ll do it: 

• Collaborative approach: Work closely with scientists, engineers, and governance teams to align data management practices with research needs and technical infrastructure.
• Standards-driven practices: Apply FAIR data principles, metadata standards, and governance frameworks to ensure datasets are well-structured, documented, and reusable.
• Operational efficiency: Use automation, lightweight tooling, and emerging technologies (including AI) to streamline data curation, validation, and documentation workflows.
• Contributor enablement: Support researchers and contributors through clear documentation, onboarding, and guidance on data submission and sharing processes.
• Responsible data stewardship: Ensure biomedical data sharing follows appropriate legal, ethical, and governance requirements while maximizing scientific usability.

Who You Are

The Essentials (Required): 

• Education & Experience: 
• 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.
• Technical Baseline: 
• 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.

Other preferred Skills

• Familiarity with AWS or other cloud-based resources.
• Experience presenting work to scientific audiences.

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Job Functions and Physical Requirements

The following cognitive and physical activities outline the essential functions required for successful job performance. Reasonable accommodations may be provided to enable individuals with disabilities to fulfill these functions.

Physical Demands

• 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.

Cognitive Demands

• 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.

Additional Requirements

• 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.

Note: This list is not exhaustive and may be subject to modification as job duties evolve.

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Compensation & Total Rewards

Sage Bionetworks implements equitable workplace strategies to ensure fair pay. Actual compensation is determined by market data, specific experience, and internal parity.

• Job Level: Professional 
• Annual Salary Range: $93,300-121,700
• Note: New hires typically receive an offer between the minimum and the midpoint of the range to allow for future growth within the role. Higher offers may be considered for exceptional experience or specific market conditions.

Comprehensive Benefits: We offer a package competitive with both commercial biotech and nonprofit sectors:

• 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.
• Learn more at: Benefits – Sage Bionetworks

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Equal Opportunity & Inclusion

Sage Bionetworks is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Accommodation Request: If you require a reasonable accommodation during the application or interview process, please contact HR during the scheduling process. 

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Modern Hiring & Responsible AI

We value your talent and your time. To ensure a fair and inclusive experience, we operate with the following principles:

• Responsible AI in Recruiting: To help us find the best talent, we may utilize AI tools within our recruiting platforms. We use these technologies responsibly to avoid the pitfalls of bias and discrimination. We believe technology should enhance human judgment, not replace it, and we regularly audit our processes to ensure every candidate is evaluated fairly based on their unique skills.
• Work from (Almost) Anywhere: We are a distributed workforce and support remote or hybrid arrangements within the United States.
• Virtual-First Interviews: All interviews are conducted virtually to ensure accessibility and flexibility for all candidates.

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About Sage Bionetworks: Science for the Common Good

At Sage Bionetworks, we believe the greatest barriers to medical progress aren't just biological-they are structural. Since 2009, our Seattle-founded nonprofit has been on a mission to tear down the "silos" of traditional science.  When you join Sage, you aren't just taking a job; you’re joining a bold collective of scientists, engineers, governance experts, and visionaries. 

From leveraging advanced AI to navigating the complexities of large-scale data governance, our work is fueled by a restless curiosity and a commitment to innovative exploration. We are a high-agility team that thrives at the intersection of "what is" and "what if," navigating fluidly across roles to meet the challenges of a digital-first research landscape.

We recognize that the most innovative solutions emerge from a tapestry of diverse perspectives and a willingness to experiment. At Sage, your work transcends the traditional boundaries of science and technology. Join us in leaving a lasting imprint on human health by proving that when we share knowledge, and embrace the tools of the future, everyone wins.

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The Sage Way: Our Core Values

We enact change through these five pillars:

• Science Driven: We use data and evidence to ensure our work creates a measurable, positive impact on human health.
• Accountable: We deliver on our promises through a foundation of trust and radical transparency.
• Growth Oriented: We stay curious, seek out the hardest challenges, and constantly aspire to improve ourselves and our field.
• Empathetic + Inclusive: We embrace our differences and build environments where every voice is empowered.
• Radically Collaborative: We believe the best solutions come from teamwork and building diverse, global communities.