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  • Director, Computational Immunology - Seattle - Sage Bionetworks

    Sage Bionetworks
    Sage Bionetworks Seattle

    1 month ago

    Default job background
    Full time
    Description
    Job Description

    We believe we can learn more by engaging and collaborating with people from diverse experiences, backgrounds and identities. We develop and apply open practices to data-driven research to advance human health. We are working to establish actionable biomedical observations through the reliable analysis and responsible sharing of representative data. By improving how scientists collaborate and increasing research reliability, we will improve human health.

    We seek an experienced computational biologist with immunology and data coordination expertise to join Sage's research teams. The immunology team works directly with other cross-functional teams and reports to Sage's Chief Data Officer. Within this multidisciplinary group, our research leads focus on advancing biomedical research using team-based, open scientific approaches. Our scientific coordination efforts focus on managing complex research projects across distributed teams and leading cross-consortium working groups.

    Our current immunology portfolio covers projects focused on organizing and disseminating molecular profiling and clinical data from several inflammatory and immune-related diseases. We are looking for an ambitious leader who will support these ongoing projects and strategically expand our research portfolio and collaborations in the area of immune disease.

    To be successful, you will have a commitment to open and collaborative research practices and an understanding of where these approaches can advance hard problems in computational immunology research. You will have the ability to design and perform the analysis of large molecular datasets and interpret results. You will be an integral part of a multidisciplinary team that includes computational biologists, research ethicists, software engineers, biomedical data managers, and functional genomics experts.

    Key Responsibilities:

    • Developing scientific strategy for collaborative research and responsible data sharing in immunology-related conditions

    • Directing a team of biomedical data managers, data scientists, project managers, and engineers in meeting project goals across programs

    • Developing and applying innovative approaches to immunology analytics and to reproducible research

    • Growing the computational immunology disease portfolio by initiating and securing funding through grants and/or contracts

    • Building external partnerships that align with Sage's mission

    • Evangalizing and communicating about research within Sage's portfolio and, more broadly, about Sage's mission

    • Attending relevant meetings and preparing scientific manuscripts

    • Working with the leadership team at Sage to align practices across research domains and to guide roadmaps for core services shared across those domains



    Requirements:

    • Passionate about open science and collaboration

    • Hold a PhD or other scientific degree with commensurate experience

    • Have at least 5 years of experience in immunology related research or relevant experience in computational biology, systems biology or bioinformatics

    • Have at least 5 years of experience acting as principal investigator or group lead for a scientific program

    • Or have postdoctoral experience with a strong publication record

    • Demonstrated evidence of leadership in large collaborative research projects

    • Have contributed to the procurement of funded research grants and/or contracts



    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. We have a distributed workforce and support remote and/or on-site hybrid work arrangements within the United States. We are pleased to offer a comprehensive benefit package, competitive to both commercial and not-for-profit life science organizations.

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