$100K — $150K *
By pairing engineers with leaders in our Education, Science, and Justice and Opportunity teams, we can bring technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face.
In our Science Initiative, our mission is to support science and technology that will help make it possible to cure, prevent, or manage all diseases by the end of the century. Interdisciplinary teams of physicians, biologists, computational scientists, and engineers can expand our understanding of the human body and illness — the very science behind medicine. CZI fosters collaboration between scientists and engineers, develops tools and technologies, and builds support for basic scientific research.
Some Science Initiative example projects include:
napari - an open-source interactive, multi-dimensional image viewer for python
IDseq - a metagenomics platform focused on delivering insights in infectious disease
Starfish - an open-source image processing framework, enabling access to multiplex image-based transcriptomics analysis
cellxgene - an open-source interactive data explorer for single-cell transcriptomics data
Meta - a semantic discovery tool that provides a faster way to understand, organize and explore science through personalized feeds
As a Senior Software Engineer on the Single-Cell Engineering Team, you will provide tech leadership for a team building cloud-based tools and infrastructure that support a global community of scientists and engineers advancing the frontiers of single-cell biology. The team builds end-to-end software solutions, including petabyte scale data archives, analysis pipelines, and visualization systems, with a domain focus on molecular and cellular-scale measurement of biological systems.
Provide technical leadership to software development teams towards delivering value to users
Mentor junior engineers
Architect and develop software applications to manage collection, storage, analysis and visualization of biological assay data
Work in a multi-disciplinary team, with engineers, scientists, product managers, designers and user researchers, to define product plans and strategy
Collaborate directly with external open source partners, scientific collaborators, and early adopters
Participate in building single-cell data APIs, visualization tools, and analysis platforms
5+ years of software design, development, and production experience
3+ years using relevant technologies, which include building backend microservices on public cloud-based infrastructure (Amazon Web Services, Google Cloud Platform, Azure, or equivalent), high-scale databases, web front-end (HTML/CSS, data visualization tools), etc.
Demonstrated ability to learn and use new methods and tools, define project requirements, ship completed projects
Demonstrated ability to mentor junior engineers
Excellent written and verbal communication skills
Experience with the Python programming language, genomics, open source software communities, and defensive application development (computer security) are all pluses.
Valid through: 8/13/2020