Associate Director, Computational Biology

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-s