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 recruiting a Scientist to support our open science initiatives in the area of Neurofibromatosis (NF) research. We are a non-profit research organization that seeks to develop predictors of disease and accelerate health research through the creation of open systems, incentives, and standards. We create strategies and platforms that empower researchers to share and interpret data on a colossal scale, crowdsource tests for new hypotheses, and contribute to knowledge through community challenges. At the base of all of these efforts is the need to create globally coherent biological data sets that are Findable, Accessible, Interoperable, and Re-usable.
We are seeking someone to join our efforts to collate all research in NF across a number of funding agencies including the Children’s Tumor Foundation (CTF), the Neurofibromatosis Therapeutic Acceleration Program (NTAP), and the National Cancer Institute (NCI). This work will culminate in a single scientific resource that will serve as the foundation for the larger NF community of researchers.
What you’ll be doing:
- Leading a team of scientists from collaborating international biomedical research labs to:
- identify/develop standards and protocols for storing, describing, and sharing heterogeneous data (including clinical, genomic, and imaging datasets) and tools
- respond to requests for data and programmatic support, generate reports, and provide training
- Analyzing varied datasets including RNA-Seq, WGS, high-throughput drug screening, and other types support the scientists in NF consortia to support their research
- Using computational approaches to expand re-use of NF-related datasets such as:
- Predicting drug response in cell culture and patients from genomic and transcriptomic data
- Network-based integration of diverse data to identify pathways altered in disease
- Standardizing analysis tools into formal pipelines for broader use by the community
We’d love to hear from you if you have:
- A PhD in biology, bioinformatics or related field with experience working in computational biology research (required)
- Experience with R and/or Python programming (required)
- Experience processing and analyzing genomic data including hands-on implementation of DNA alignment, RNA quantitation and variant calling tools (required)
- Familiarity with collaborative development and version control systems (e.g., git) (required)
- Experience with database backends and cloud computing
- Expertise with bioinformatics pipelines and workflows
- Expertise in cancer biology, RAS signaling, or NF
- Experience working as a part of highly collaborative multi-institution research projects