Postdoctoral Fellow, Computational Oncology

Postdoctoral Fellow, Computational Oncology

Sage Bionetworks is seeking a computational oncology postdoctoral fellow with an interest and background in systems biology and rare disease research. This position presents the opportunity to work across develop systems biology approaches to study Neurofibromatosis, a family of rare cancer-predisposing syndromes with a complex etiology. We are seeking a scientist to identify novel questions within NF and related cancer types using high-throughput ‘omics and drug screening datasets. Ideal candidates will have a background in pre-clinical and translational research, and an appreciation of efforts to incorporate ‘omics’ data into clinical practice.

This role represents a concerted effort by Sage Bionetworks and the NF community to bring open and collaborative science to the rare disease community. The candidate will be expected to not only carry out research on recently published NF data but also communicate those findings with the rare disease community to enable others to study the data.

Specific Responsibilities Include

  • Involvement in research projects from inception to publication in NF and cancer domains including:
    • Predictive modeling of drug response
    • Analysis of NF characterization data such as gene expression, sequencing, etc.
    • Integrative genomic modeling
    • Design and development of algorithms for interrogating and interpreting complex genomic data.
  • Interactions with members of the Neurofibromatosis and cancer communities to identify novel datasets and methods that could drive research questions

Basic Qualifications

  • Candidate must have a PhD in computer science, bioinformatics or a biological field with experience in computational modeling;
  • Software development experience, including strong programming skills in a high level language such as Python, R, or Java;
  • Experience working with high dimensional genomic data, such as sequencing data, gene expression, CNVand/or data from other high-throughput biological technologies.
  • Demonstrated excellence in research with evidence of advancing an area of computational biology.
  • Strong Collaboration, teamwork and communication skills

Additional Skills/Preferences

  • An understanding of cancer signaling pathways involved in NF such as RAS-signaling or the Hippo pathway;
  • Experience with advanced machine learning or statistical techniques, such as probabilistic graphical models, Bayesian inference, and optimization methods;
  • A demonstrated passion for open-access innovation

About Sage Bionetworks

Sage Bionetworks is a world-leading nonprofit biomedical research organization in Seattle, WA.  We are dedicated to building and supporting open communities of collaborative research in human health and genomics. We are developing multiple initiatives designed to facilitate scientific collaborations and enable direct contributions of ideas and data from citizens to research projects. Sage embraces diversity and equity. We offer a comprehensive benefits package, including relocation benefits, to bring the right talent to the team. We are based in Seattle, WA, and collaborate broadly throughout the world.

Apply 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.