Benchling was started by a group of software engineers with molecular and computational biology experience. Many of us chose not to pursue paths in science because we were frustrated at how hard it was to work together. We’ve experienced the pain of poorly managed data, irreproducible research, and paper lab notebooks.
Thousands of scientists all around the world use Benchling to do research. Whether they are at the world’s largest companies, the top research universities, or working on a startup in a garage, scientists use Benchling for the same reason: to be empowered, not encumbered, by their tools.
Benchling is a platform for cutting-edge life science research: gene therapy, cellular immunotherapy, synthetic biology, and more. 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.
We accelerate research at pharmaceutical giants, biotech startups, and most academic institutions. With Benchling, scientists design, conduct, and analyze experiments that are solving some of humanity's most pressing challenges, such as curing cancer and genetic diseases, finding renewable energy sources, engineering new forms of food.
About the Team
Benchling was founded in 2013 by a team of MIT graduates and has since raised funding from investors that include Y Combinator, Andreessen Horowitz, and Thrive Capital. Our small team of 40 includes former Salesforce executives, tech industry veterans from Google, Palantir and Twitter, and biology PhDs from UCSF and Harvard. We hire people who love learning and learn fast - building tools for science requires a scientific mindset.
Our engineering team of 15 is small but growing. We're looking for engineers who are easy to work with, crave ownership and impact, and are driven to make a dent in our space.
* 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 founding engineering team, you'll be an integral part of how we mature our tooling, best practices, engineering processes, and hiring.
You may be a fit for this role if you:
* Have 3-5 years of experience in software engineering.
* 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, translating ideas into code, 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:
Here are some examples of recent and future projects:
* A unified UI library - we're passionate about delivering a stellar user experience, which makes scientists happier and more productive. A broad platform needs a consistent design language and user experience.
* 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.
* 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.
* 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.
Benchling makes life science research faster and more collaborative.
Biotechnology has the potential to solve humanity’s most pressing challenges, such as disease, renewable energy, clean water, and hunger. The brightest minds are working on these problems but they are equipped with archaic tools. We aspire to fix this and increase the rate of scientific output with a platform for researchers to design and run experiments, analyze data, and share results.