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
- 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
- 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.