Research Associate – Cancer Systems Biology

Research Associate – Cancer Systems Biology

We are seeking a Research Associate in the Computational Oncology Group. As a member of our team, you will work closely with the scientists and other associates in the Computational Oncology group at Sage Bionetworks to support various research projects in cancer. The work includes the harmonization, analysis, and sharing of biomedical data (e.g. genomic, clinical, and imaging data) across various biomedical research institutions and developing tools to support many of our DREAM Challenges (dreamchallenges.org). Ideal candidates will be enthusiastic about the application of data science and technology to enable open, collaborative, and reproducible biomedical research.

Specific Responsibilities Include

  • Facilitating data curation, management, and sharing across collaborating biomedical research labs
  • Supporting research consortia by developing tools, writing documentation, and maintaining project web sites
  • Analyzing data from high-throughput molecular screens including RNA-, ChIP-, Exome-, and DNA-seq
  • Assisting with the creation of dashboards, visualizations, and other resources for experimental and clinical biologists to explore and leverage data and analysis results

Basic Qualifications

  • MS in Computer Science, Bioinformatics, Statistics, Computer Engineering or related field
  • Strong candidates will also be considered with BA/BS with 2+ years of relevant job experience
  • Experience working with large datasets, especially those generated by genomics and next-generation sequencing technologies
  • Proficiency in R or Python
  • Familiarity with Linux shell scripting
  • Experience managing data and computing within distributed grid- or cloud-based cluster environments  
  • Experience with collaborative development and version control systems (e.g. git)

About Sage Bionetworks

Sage Bionetworks, is a non-profit organization located in Seattle and 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 predictive models of disease-related phenotypes through integrative analysis of large-scale genomic and imaging data sets. Sage offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team.

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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.

Operations and Administration

The Administration and Research Operations group at Sage Bionetworks works across all departments to oversee day to day operations of the organization. The team oversees a variety of areas including human resources, grant management, contracts, and finance.

Current Positions:

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.

Current Positions: