• Research Scientist III - Genomic Data

    Job ID 2018-29838
    Area of Interest
    Research & Development
    Location Name
    Jack R MacDonald Building
    FTE/Hours per pay period
    1.0 FTE (80 hours per bi-weekly pay periods)
    Work Status
    Dev Biology & Regenerative Med
    Day Shift
  • Overview

    Seattle Children’s Research Institute, in collaboration with the new Brotman Baty Institute (BBI) for Precision Medicine, currently have an outstanding opportunity for a Genomic Data Analyst at the intersection of cutting edge technology development and medicine.


    The BBI bridges the University of Washington, the Fred Hutchinson Cancer Research Center and Seattle Children’s Hospital & Research Institute. Through the BBI Advanced Technology Lab, the institute will have the capacity to generate transcriptomic profiles of millions of single cells across a large number of investigator-initiated projects from all three institutions. The ability to analyze and unify these data sets will be paramount to the success of these projects. Single cell data analysis will require implementation of currently available, sophisticated computational approaches as well as development of novel algorithms to integrate and visualize data across projects, tissues, time courses, etc. The BBI anticipates the capacity to generate additional datasets including single-cell chromatin accessibility profiling and co-assays as appropriate for specific projects.


    The successful candidate for our Genomic Data Analyst position will have  exceptional computational and analytic skills required to build data analysis pipelines and new analytical tools. In addition, communication skills are required to effectively consult with and provide training to collaborators at multiple institutions to empower them to work with their own, project-specific single cell data.


    Duties & Responsibilities

    - Implement the current single cell transcriptome analysis pipelines.

    - Integrate sample tracking software into the current pipelines.

    - Develop novel algorithms for analysis and integration of large, single cell ‘omics’ datasets.

    - Consult with collaborating labs in the community to tailor analysis approaches for individual projects.

    - Work with information technology specialists to implement a cloud-based platform for data storage and analysis that is accessible to investigators at BBI-affiliated 

    - Develop a single cell analysis training program for collaborating BBI investigators.


    Required Education/Experience:
    - Master's degree in molecular biology, cellular biology, genetics or related discipline with significant experience in high-throughput methods.
    - 3+ years of post-doctoral or professional experience in genomics or bioinformatics.
    - Candidate should have outstanding academic and professional track record.
    - Candidate should be an innovative and analytical thinker with outstanding interpersonal and communication skills.

    - Highly disciplined and organized.

    - Ph.D. degree in computer science, computational biology, bioinformatics or related discipline with significant experience in development of novel algorithms for analysis of large datasets.
    - 5+ years experience in genomics.
    - Successful candidate will be highly self-motivated and enthusiastic about taking a hands-on approach to collaborative scientific discovery efforts.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed