Computational Oncology Group

Research Scientist – Computational Biologist

Research Scientist – Computational Biologist

Computational Biologist – Research Scientist

Sage Bionetworks, Seattle WA

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 currently recruiting a computational biologist with a background in analysis of translational and clinical study data, including genomics, transcriptomics, pathology, radiology and clinical/phenotype data. Experience with epidemiology, clinical research and population studies is also of interest. We are active in a number of research areas including immuno-oncology, precision medicine, spatial-temporal tumor heterogeneity, physical characterizations of tumor cells, and immune phenotyping. The research scientist will contribute to data sharing consortia, including AACR’s Project GENIE and others organized by federal, non-profit, and industry sponsors. The scientist may contribute to organization and analysis of DREAM Challenges.

What you’ll be doing:

  • Develop and execute quality assessment routines for translational study datasets contributed by external collaborators. Establish procedures for execution of quality routines in production.
  • Conduct feasibility assessments, supporting studies in precision medicine and immunotherapy. Develop proposals for new studies using consortia/in-house and publicly available datasets.
  • Design and conduct analyses and meta-analyses across multiple translational datasets. 
  • Summarize research findings in reports, manuscripts, and presentations to collaborators and funders. 
  • Develop new methods, pipelines, and tools as needed for analysis of data from funded projects, in collaboration with external partners. Generate preliminary data to support grant applications.
  • Collaborate with in-house data curation experts to select and apply data standards to consortia datasets.
  • Pilot methods to use cloud computing resources to analyze datasets held in Sage’s Synapse data sharing platform.
  • Work with Sage’s software engineering team to define use cases and requirements for new features in Synapse.

We’d love to hear from you if you have: 

  • A PhD in computational biology, bioinformatics, statistics, epidemiology, mathematics, or related quantitative discipline, OR a masters degree in one of the above areas, 7+ years of relevant work experience, and a strong publication track record.
  • Experience working with high-dimensional biological data, such as gene expression, genomic, imaging, drug response, flow cytometry, or CyTOF. Immediate needs and emphasis are in whole-exome sequencing, RNA-seq, and pathology imaging.
  • Experience with real-world or trials data and clinical models such as OHDSI/OMOP and CDISC. 
  • Demonstrated ability to address a defined problem or hypothesis (biological or otherwise) creatively and with minimal supervision.
  • Programming competence in R and/or Python.
  • Collaboration, teamwork, presentation, and communication skills.

Additional Skills/Preferences

  • Familiarity with cancer research.
  • Software development skills, including experience with version control software (e.g., Git).
  • Experience with cloud computing (especially AWS) and containerization approaches (principally Docker).
  • Experience with performing meta-analyses.

In light of recent concerns of Covid-19, all interviews will be conducted remotely, and most positions will be remote through at least December 31, 2020. The option to work on-site at our Seattle office prior to December 31, will be considered upon request.

About Sage Bionetworks

Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but it’s not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sage’s gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

Sage embraces diversity, equity and inclusion. We are committed to pay parity and making our salary ranges available to all employees. We invite you to apply and we welcome a conversation. We are based in Seattle, WA, and collaborate broadly throughout the world.

Apply Now