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.
Data Engineer San Francisco
Full-Stack Engineer San Francisco
Infrastructure Engineer San Francisco
Platform Engineer San Francisco
Software Engineer in Quality San Francisco
The life science industry is booming — Recent advancements in areas like DNA sequencing and CRISPR / gene engineering have led investors and entrepreneurs alike to declare biotech the next frontier of innovation.
You will have a large impact on the next generation of scientific research — The top CRISPR companies, leading academic institutions, and pharma giants are building their workflows and entire IT stacks on Benchling.
We have an exceptional 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 is team is small, but we take quality and autonomy very seriously.
Quality — we believe that ensuring engineering quality lets us move faster in the long run. We follow industry-standard practices to ensure a high-quality product. All changes are code reviewed, go through automated testing, and go through a brief testing cycle before they are shipped to customers.
Autonomy — engineers are expected and encouraged to take complete ownership over their work. This includes working with PMs on defining a product spec, building out technical plans, leading project teams, and going to customer on-sites to get direct feedback from users.
We're building a platform that powers complex scientific workflows. As a result, you'll face engineering challenges up and down the stack:
- Analyzing large datasets for customers with thousands of scientists
- Data modeling for scientific workflows with lots of interconnected parts
- Building powerful visualization tools to help scientists understand their experiments
- Working with scientists directly to develop scientific tools from cutting-edge research papers
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.
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.
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