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Fellowship in Computational Modeling of Neurofibromatosis / Schwannomatosis
Sage Bionetworks, Seattle, Washington
Sage Bionetworks and the Children’s Tumor Foundation (CTF) are recruiting qualified candidates for a fully-funded 2 year postdoctoral training program. We are seeking individuals with a research or clinical background in NF or NF-related diseases, who are looking to broaden his/her skill-set by learning and applying computational approaches to cancer. Successful candidates will spend their time at Sage Bionetworks in Seattle, working side-by-side with data scientists, computational biologists, and clinicians.
As a CTF sponsored fellow, you will have the opportunity to work within the Synodos program, a group of talented researchers with diverse backgrounds – from basic science, to translational science, to clinicians – who have joined together to break down barriers, proactively leverage collaboration and shared knowledge, and work together to develop effective new treatments. The Synodos initiative is actively building a comprehensive NF data resource, including functional drug screens and high-throughput omics (protein, RNA, DNA) across cell lines, mouse models, and patients. This rich data resource will serve as the backbone for multiple projects and novel analyses. In addition to the analysis of NF, you will also manage novel, CTF data and oversee the implementation of the data into the Sage data platform. Other duties will include performing correlation studies between NF and potential malignant cancer studies, RFA creation for biological validation, literature validation or devalidation of hypothesis.
Sage Bionetworks (www.sagebase.org) is a nonprofit biomedical research organization located at the Fred Hutchinson Cancer Research Center in Seattle, Washington. We provide a dynamic training environment in which fellows will engage in multi-disciplinary research by working with Sage Bionetworks senior scientists, software engineers, and a large network of experimental collaborators at the Fred Hutchinson Cancer Center and other institutions. Training at Sage Bionetworks provides an opportunity to explore modeling approaches in cancer. As a TCGA PanCancer center, Sage emphasizes modeling techniques both within and across disease types using molecular and clinical data.
- Clinical or research fellow with experience in NF looking to develop strengths in data science and computational modeling using genomic data.
- The candidate must be comfortable working as part of a team, be detail oriented, accurate, flexible and possess strong analytical skills.
- All candidates must be legally authorized to work in the US.
To apply, send your CV and cover letter to firstname.lastname@example.org