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.
Hear from Sage Bionetworks team(Larsson Omberg – Senior Scientist)
Current Positions
Technology Platforms and ServicesAt 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.
#1:Data Scientist
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.
Sage Bionetworks is a world-leading nonprofit biomedical research organization dedicated to:(1) developing predictive models of disease-related phenotypes through integrative analysis of large-scale genomic data sets; (2) building and supporting open communities of collaborative research in human health and genomics.
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.
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.
