Career Opportunities

You will work in the AI Explore pod to develop innovative AI applications for education, focusing on personalized, whole-child learning approaches that incorporate cutting-edge research and novel techniques to substantially enhance classroom capabilities in the coming years.

You will work in the AI Explore pod to develop innovative AI applications for education, focusing on personalized, whole-child learning approaches that incorporate cutting-edge research and novel techniques to substantially enhance classroom capabilities in the coming years.

You will be working with a set of highly motivated and talented engineers to build cloud applications on latest technologies that scientists rely on every day in ways that enable them to draw more meaningful conclusions, or biological insights, more quickly. By making our tools, methods, and quality data sets accessible to a diverse set of scientists, clinicians, and patient communities, we contribute to the rate at which biomedical science can understand and advance human health. This role will work with Product Managers, UX Designers/Researchers, Application Scientists and other Engineers to design, build and maintain user-facing web applications for SciTech products using modern technologies and architecture design patterns.

You will play a key role in priority enterprise-level initiatives, influence security across our organization, and drive the implementation of our Information Security strategy.

As a staff software engineer on the Data Engineering team, you will design and implement all the data needs for our platforms, CELLxGENE Discover, CryoET, as well as the new platform we are building that has a focus on data for AI and the virtual cell, in order to enable scientists to further interrogate our very large and growing corpus of data without any need to download the data itself or have any computational expertise. You will work on a collaborative, multidisciplinary team to develop solutions for our scientist users to accelerate their workflows and accelerate the pace of scientific discovery. You will be responsible for setting the direction of how our teams ingest, transform, validate, process, store, monitor, and utilize petabytes of data for ease of use, search and modeling. You will also be responsible for upscaling the engineers around you and influencing the proper technical best practices and data design for efficient and effective delivery. No prior biology experience is required for this role. You will have the opportunity to pair with Computational Biologists to develop solutions for our users and be able to learn about biology from experts on our team. Our tech stack: Python, Terraform, AWS infrastructure, TileDB.