Data Curator

Data Curator

Position Overview:  

Sage Bionetworks is recruiting for a Data Curator to enable our open science initiatives. Sage is a Seattle, WA based non-profit research organization that seeks to develop predictors of disease and accelerate health research through the creation of open systems, incentives, and standards. We create strategies and platforms that empower researchers to share and interpret data on a colossal scale, crowdsource tests for new hypotheses, and contribute to knowledge through community challenges. At the base of all of these efforts is the need to create globally coherent biological data sets that are Findable, Accessible, Interoperable, and Re-usable.  

We are seeking someone to maintain and develop new approaches to support data sharing, through  multiple open neuroscience data portals. This is a person who understands the complexities of combining heterogeneous biological data sources, the difficulties of standardizing metadata, and the value that these approaches can provide to support reproducible research.  

Specific responsibilities include:

  • Working within a team of biologists, statisticians and database administrators to compile and format large, highly-dimensional data sets.
  • Develop new processes for maintaining and growing datasets to meet the strategic needs of the research community.
  • Use and develop new tools that build on existing APIs for data standardization.
  • Train users and lead outreach efforts with new user groups
  • Streamline processes and implement new methods using scripting and statistical programming
  • Assist in the evaluation and implementation of data and phenotype curation tools
  • Create simple visualizations and dashboards of datasets to facilitate users in understanding their content and value.

Basic Qualifications:

  • Master’s degree in a  computational field (e.g. bioinformatics, computational biology, physics) or a Bachelor’s degree in same with a minimum of 2 years experience working with high dimensional data repositories.
  • Experience with scripting languages such as Python or statistical programming in R.
  • Ability to work independently and in a team setting.
  • Understanding of biological data structures and metadata.
  • Excellent communication skills.
  • Hands on experience working with clinical data from neurodegeneration studies.

Additional Skills/Preferences:

  • Experience working with gene expression, genotype, CNV, or other sequence data.
  • Proficiency in Linux and Linux-based scripting tools (sed, awk, shell scripts, etc).
  • Experience in building dashboards summarizing data.
  • An interest in learning about high throughput biological technologies.

About Sage Bionetworks:

Sage Bionetworks is a Seattle-based non-profit organization dedicated to advancing biomedical research through the implementation of reproducible, open science.  Using cutting edge machine-learning methodologies in collaboration with scientists around the world, we build robust computational models of disease-related phenotypes through integrative analysis of large-scale genomic, imaging, and mHealth data sets. To enhance collaborative efforts, we leverage a compute platform ( for sharing research insights in a transparent, reproducible fashion.

Sage Bionetworks is an Equal Opportunity Employer.  We offer competitive compensation and a comprehensive benefits package, including relocation benefits to bring the right talent to our team.

Apply for this position here.

Current Positions

Computational Oncology

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.

Digital Health

Sage Bionetworks’ digital health program is designed to improve disease characterization through the use of sensor-based technologies and bi-directional feedback to improve health monitoring and provide quantitative metrics to assess disease impact on health and on quality of life. We maximize the insights gained from these efforts by providing them through Synapse, a collaborative compute platform. Our mHealth team includes expertise in software engineering (both iOS and Android), clinical study design and development, data governance and data analysis. We are actively involved in projects across a range of disease areas and within the Precision Medicine Initiative.

Neurodegenerative Research

An overarching goal of the Neurodegenerative Research (NDR) group is to improve understanding of the molecular mechanisms of neurodegeneration via computational analyses of high-dimensional genomic data-sets. Our group leads analyses of such data in consortia focused on Alzheimer’s Disease (AD) and related neurodegenerative disorders, including AMP-AD and MODEL-AD. We also work across disciplines to develop technologies that make these analyses available to a wide audience of researchers. Most notably, we recently celebrated the launch of Agora, an interactive, web-based explorer that provides access to research and analyses of nascent AD drug targets produced in conjunction with the NIH-led Accelerating Medicines Partnership.

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.

Technology Platforms & Services

We’re 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 individuals 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 E-Consent, to the ability to run Challenges to solve data-driven questions through our partnership with DREAM.