Hear from our team

Sage Bionetworks is expanding its interdisciplinary team dedicated to advancing the impact of data-driven predictive modeling on human health. Because we believe that research provides the greatest impact when built on a foundation of collaborative relationships and open systems, we work to build and support communities of collaborative researchers. As such, the team at Sage Bionetworks operates as an integrated group of computational biologists, disease biologists, clinicians, and software engineers.

If you enjoy the challenges of designing and implementing new approaches to computational biology, genomics and therapeutic discovery, and like the idea of a dynamic start-up environment, we invite you to explore the career opportunities at Sage Bionetworks.

Sage Bionetworks seeks talented professionals committed to excellence and innovation who can balance interdisciplinary teamwork and individual initiative in a mission-based research environment. We offer a variety of positions including internships and Postdoctoral fellowships.

Sage Bionetworks offers competitive salary packages in an outstanding urban research setting. Benefits include health and disability insurance, a 403(b) retirement plan, relocation, transportation subsidies, and a flexible spending plan.

For general inquiries regarding careers at Sage Bionetworks contact us

For current positions view the job descriptions below.

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Current Positions

Technology Platforms and Services
At Sage Bionetworks we are working on the tools and platforms required to gather, share and use biomedical data in novel ways. These are targeted both at the research community, as well as organizations and individual who are involved in providing data and being involved in the research process. They range from the technology platforms Synapse and BRIDGE, through novel methods of addressing governance issues around the distribution of human data such as Portable Legal Consent, to the ability to run Challenges to solve data-driven questions through our partnership with DREAM.
Platforms and Services

Data Science
The Data Science group works with data integration and develops analysis pipelines for genomic scale research. Much of our effort is dedicated to enabling and assisting large scale research consortia that span multiple institutions where we solve hard data integration problems in order to promote collaborative research. We focus on developing general purpose tools and techniques that will allow research to be reproducible and reusable by leveraging our in house technology platform.

Research Operations
The Research Operations group sits at the intersection of research, patient/citizen engagement and technology. It supports the scientific and strategic initiatives of the organization, and develops robust data protection policies and procedures for open research and collaborations.

Systems Biology
The Systems Biology research group at Sage Bionetworks is working to understand the underlying mechanisms causal to common disease. We use large-scale genomic analysis to identify disease subclasses, generate diagnostic and prognostic biomarkers, and to identify pathophysiology causal to disease in collaboration with academic and industry partners. Our current portfolio is focused on neurobiology, spanning both neurodegenerative and neuropsychiatric disorders, and includes projects in other disease areas including immunology, metabolic disease and craniofacial deformation.
Highlights in Neurobiology Projects

Computational Biology
The Computational Biology group focuses on developing integrative probabilistic models for prediction of disease phenotypes and validating of hypotheses generated by novel methodologies. Currently opportunities include: positions in Oncology focused on conducting original research in analyzing large-scale high dimensional genomics data to develop predictive models of cancer phenotypes. Positions in collaboration with the recently merged Sage/DREAM effort, focused on designing and implementing crowd-sourced collaborative challenges around cancer phenotype prediction problems. Positions in stem cell bioinformatics with a focus on development of the data and analysis bioinformatics portal for the Progenitor Cell Biology Consortium, as well as research projects on modeling molecular mechanisms underlying stem cell differentiation.