At Sage Bionetworks, we believe that we can learn more by learning from each other. By improving the way scientists collaborate, we help to make science more effective. We partner with researchers, patients, and healthcare innovators to drive collaborative data-driven science to improve health. Making science more open, collaborative, and inclusive ultimately advances biomedicine.
We are seeking a creative computational biology graduate student who is interested in developing and applying integrative algorithms on high throughput datasets in Neurofibromatosis (NF). As part of the NF Open Science Initiative, we explore a variety of data types from different patients and model systems. We are seeking someone who wants to ask broad questions with these data to further understand the etiology of the disease.
What you’ll be doing:
- Integrating diverse datasets including gene expression, copy number alteration, and mutational data across distinct forms of NF
- Building computational models of these data or relevant datasets from other diseases such as NF1 and NF2-mutated cancers
- Developing new tools to identify novel genes or compounds of interest
We’d love to hear from you if you:
- Are passionate about open science and collaboration
- Are in a graduate program studying computational biology and want to get hands-on experience
- Are proficient in R or Python
- Have extensive knowledge of machine learning or statistics
- Enjoy working in a dynamic team environment
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.