About Us

Sage Bionetworks uses open science and collaboration to improve human health. We bring together scientific, technical, and operational expertise to advance biomedical research through responsible data sharing, strong governance, and innovative approaches to research and technology.

Our work is complex, interdisciplinary, and mission-driven. We value curiosity, diverse perspectives, experimentation, accountability, and radical collaboration.

The Opportunity

Sage Bionetworks is seeking an Associate Director, Computational Biology to lead and grow a multidisciplinary team focused on applied scientific research, biomedical data stewardship, and community engagement around Sage’s data assets, including widely used resources such as Synapse, the AD Knowledge Portal, and the Cancer Complexity Knowledge Portal.

This is a scientific and people leadership role with an opportunity to shape how Sage curates, governs, shares, and activates its biomedical data. You will establish scientific direction, data management standards, and community-engagement practices in partnership with Sage’s governance and platform teams. Your work will help ensure Sage’s data are Findable, Accessible, Interoperable, and Reusable (FAIR), aligned with GA4GH data-sharing standards, and trusted and actively used by the research community.

You will lead a multidisciplinary team of biomedical data managers, biomedical data engineers, community engagement staff, and program managers. You’ll also serve as a strategic partner to organizational leadership, connect data stewardship and community initiatives to Sage’s broader mission, identify opportunities to expand adoption of Sage’s data assets, and contribute to platform development priorities.

Externally, you will represent Sage with data generators, researchers, funders, consortium partners, and other stakeholders. You will communicate the scientific value of Sage’s managed data, data derivatives, and software platforms while identifying community needs and opportunities for growth.

This role combines scientific leadership, people leadership, and hands-on technical work. You will develop your team, strengthen Sage’s data stewardship and community capabilities, and continue contributing directly through computational biology, statistical, and bioinformatic work. The role is intentionally focused on applied, data- and community-oriented science rather than maintaining an independent, hypothesis-driven research program.

The current scope includes substantial work with spatial and imaging data. You should have the practical technical understanding needed to design effective approaches for complex datasets, including large-scale, multi-omic data, and to evaluate emerging assays, data modalities, and computational methods.

You'll know you're succeeding when:

• Sage’s biomedical data are well curated, governed, documented, and shared in ways that meet FAIR and GA4GH standards.
• Researchers actively use, contribute to, and help improve Sage’s data resources.
• Data sharing is responsible, ethical, and compliant, with appropriate access and minimal unnecessary friction.
• External scientists have well-coordinated and well-supported research experiences with Sage.
• Your team has clear expectations, effective practices, and the support needed to deliver high-quality data stewardship and community programs.
• Data quality, metadata, and harmonization practices support cross-study and cross-consortium reuse.
• You identify opportunities for new projects, collaborations, and funding, including contributing to or leading competitive grant proposals.
• You are a trusted scientific and data stewardship partner to internal leadership and the external research community.
• Sage is well represented in large-scale Data Coordination Center (DCC) and consortium initiatives, including engagement with program officers, leading scientists, and other stakeholders.
• You balance strategic leadership, team development, and hands-on scientific contribution based on program needs.

Key Responsibilities

Lead Biomedical Data Science & Stewardship:

• Applied Data Science: Apply statistical, bioinformatic, and computational biology methods—including exploratory analysis, benchmarking, and tooling—to Sage’s large-scale, multi-omic data to improve usability, discoverability, and scientific value.
• Data Management & Curation: Oversee the curation, organization, annotation, and lifecycle management of biomedical datasets in alignment with FAIR principles.
• Data Governance: Partner with Sage’s Privacy and Compliance Office to inform data governance frameworks and access-control models and ensure responsible, ethical, and compliant data sharing.
• Standards & Interoperability: Champion FAIR principles and relevant GA4GH standards, including data-use ontologies, federated data access, and genomic data-sharing frameworks.
• Data Quality & Harmonization: Lead harmonization of complex, multi-source biomedical datasets to enable cross-study and cross-consortium analysis and reuse.
• Risk & Compliance: Identify and manage data governance, privacy, and compliance risks across the data portfolio.

Build Community & Team Capability:

• Scientific Community Management: Build and sustain a community of internal and external researchers through engagement programs, community meetings, documentation, and direct outreach.
• External Collaboration: Collaborate with and coordinate the research of external scientists and consortium partners using Sage’s data, serving as a scientific liaison.
• People Management: Hire, manage, and develop a multidisciplinary team of biomedical data managers, community engagement staff, and program managers.
• Talent Development & Mentorship: Mentor team members across data stewardship, computational biology, program management, and community engagement, supporting growth toward greater independence and technical leadership.
• AI & Data Operations: Ensure effective tools, systems, and practices for data operations, including responsible use of AI-assisted and agentic workflows for curation, validation, and community support.
• Funding & Sustainability: Lead grant proposals and funding strategies that support data infrastructure, program management, governance, and community programs.
• Continuous Improvement: Establish clear growth paths and continuously improve how Sage manages, governs, and builds community around its data in partnership with People Operations.

Qualifications

Education

Master’s or PhD in a relevant scientific, data, or informatics discipline (e.g., biology, bioinformatics, data science, library/information science, or a related field), or equivalent depth of experience in lieu of an advanced degree.

Advanced technical and domain expertise in data stewardship, applied analysis, and community-building, rather than an independent publication-focused research program.

Experience

• 8+ years of progressive experience in scientific research, biomedical data management, data governance, research data curation, or a closely related field, including leadership of complex, multi-stakeholder data or collaborative science initiatives.
• Experience working in multi-institutional collaborations and consortia.
• 3+ years of experience directly managing, mentoring, and/or developing data managers, computational biologists, bioinformaticians, or community engagement professionals.
• Track record of securing research funding as a principal investigator, co-investigator, or named key personnel, including at least one competitive NIH or comparable award.
• Experience across the proposal lifecycle, including opportunity identification, partner collaboration, budget and effort planning, and post-award reporting.
• Demonstrated experience applying open science and FAIR data principles and supporting responsible data sharing for human subjects data.
• Experience with GA4GH standards or comparable genomic/clinical data-sharing frameworks.
• Experience building or activating a research community around a shared data resource or platform.
• Experience collaborating with and coordinating external scientists or consortium partners.
• Experience managing funder relationships and communicating scientific and data value to program officers and sponsors.
• Ability to operate strategically while remaining close enough to data operations and community activity to identify and address emerging issues.
• Ability to influence decisions and create alignment across teams and leaders without relying solely on formal authority.
• Strong judgment and ability to navigate ambiguity, competing priorities, and evolving organizational needs.

Nice to Have

• Experience with biomedical data standards and common data models, such as OMOP, FHIR, GA4GH Phenopackets, or Data Use Ontology.
• Familiarity with data-sharing platforms and portals such as Synapse, dbGaP, or EGA and controlled-access data governance.
• Experience with NIH Genomic Data Sharing Policy, Data Management and Sharing Policy, or comparable funder requirements.
• Hands-on experience analyzing imaging and spatial biology data, including spatial transcriptomics, multiplexed tissue imaging, or digital pathology.
• Experience with AI-assisted or agentic workflows for data curation, validation, or community support.
• Experience with NIH-funded or comparable large-scale research consortia and public-private partnerships.
• Public-facing community engagement experience through conferences, working groups, newsletters, training programs, or similar activities.
• Experience developing scientific, biomedical data management, or community-engagement career frameworks, competency models, or mentoring programs.

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 Functions

Travel 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.

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: Associate Director

Annual Salary Range: $140,000 - $180,000

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

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.

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.

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. We don’t just conduct research; we redefine how it’s done through open science, radical collaboration, and ethical data sharing.

When you join Sage, you aren't just taking a job; you’re joining a bold collective of scientists, engineers, governance experts, and visionaries. We empower patients to be partners, not just data points, and we provide the platforms that allow the global scientific community to accelerate life-saving discoveries.

The Sage Way: Our Core Values

We don’t just talk about change; we live it 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.