At Zymergen we are building a data science ecosystem where machine learning algorithms help predict which genetic edits will produce strains with enhanced chemical production.

We’re proud of our team’s culture. As we grew, we found we wanted to write down the values that have created that culture. In this post we introduce the Zymergen Tech Team values, share the method we used to develop them, and provide additional commentary which we hope captures our thoughts and intentions behind each value.

How to be the best dang code reviewers and reviewees possible.

How Zymergen’s Technology team uses quarterly planning and storytelling to keep everyone focused in a target-rich environment.

At Zymergen, we use Jupyter notebooks to quickly create user interfaces for rapidly developed tools. In this post, we share code samples for developing IPython custom extensions, ipywidgets, and pandas dataframes displays to create user interfaces for Jupyter notebooks.

How we combine Amazon Web Services discounts to provide value and flexibility as we grow.

How we built the infrastructure to collect and visualize equipment utilization data.

The Zymergen Technology organization is composed of Automation (the robots), Software (the code), Product Management (the plan), and IT (the gear). We invest in developing robust and flexible software to allow us to design new strains, track and guide high-throughput experimentation, collect and analyze process and performance data, and improve the overall accuracy and efficiency of all of our operations.