- San Francisco
- Amazon AWS
- Own projects end-to-end, from initial design, to prototype, to large-scale rollout.
- Design and implement backend models and API endpoints for complex scientific workflows.
- Design and implement rich frontend components and architecture. We build and operate one of the largest, richest React applications out there and power complex scientific analyses.
- Work closely with product managers, designers, marketing, and sales to ensure the right context is being shared.
- Help rapidly scale our product and team. As a member of the engineering team, you'll be an integral part of how we mature our tooling, best practices, engineering processes, and hiring.
- Build software with a product-first approach. You ship code quickly and care about the real world impact of your code.
- Have strong abilities in problem solving and iterating on feedback.
- Enjoy ownership and building key pieces of product.
- Are interested in learning more about life science (prior knowledge is not required; desire to learn is a must).
YOU MIGHT WORK ON
- Tools to simulate DNA assembly - computers can assist scientists by informing scientific decisions with complex calculations. Our bulk assembly tool allows scientists to simulate constructing hundreds of DNA constructs in parallel, visualizing the end result and highlighting potential issues.
- Complex querying and visualization tools - The big advantage of keeping all your data stored in one system is that you can query that data all at once, without digging up multiple sources. This works best when you can query Benchling the same way you can query a database: by choosing from a large number of possible filters on any related objects, joining together various sources, and performing aggregations. We want to enable this in a user-friendly experience, without leaving your browser.
- A customizable computation platform - Biologics are typically large protein complexes composed of a number of shared parts. We want to let scientists specify computations that can aggregate data across all of these related entities to surface derived values, which can be used in everything from data analysis to naming schemes. Scientists may develop custom protein analysis algorithms or proprietary validation logic - they'll be able to hook in custom code and push that computation to Benchling.
- Data warehouse as a product- customers can click a button and spin up a fully-managed, query-able warehouse with all their Benchling data in one place. Customers get the full power of Redshift/Postgres without having to manage ETL pipelines or tune Postgres configuration values. A new permissions system - Our existing permission system relies on Read/Write/Admin access that can only be applied at the top level of the file hierarchy. To roll out to enterprises with 500+ users, we need to offer them fine-grained control around exactly what actions a user can take and let them manage these in a hierarchical fashion.
Benchling is building a platform for cutting-edge life science research: gene therapy, cellular immunotherapy, synthetic biology, etc. Our mission is to accelerate research and magnify its impact by bringing modern software to this historically underserved space.
Research today means disparate tools, manual data entry, and lots of Excel and paper. We provide an integrated platform for designing and running experiments, analyzing data, and sharing results. Scientists are able to work faster, while organizations can collect and tap into their vast institutional knowledge for the first time.
Our company values are:
Build a Lever We choose to build tools and infrastructure that will help others make world-changing innovations.
Empower through Information We believe that sharing information builds trust and enables better decision-making.
Rely on Tenacity Dreaming big isn’t enough. We must make the most of every day by bringing the highest level of determination to our work.
Raise the Bar We’re dedicated to creating a place where everyone feels challenged to improve.
- Amazon AWS
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