Data Engineer (Enzyme Engineering/Bioinformatics)

EnginZyme is a Swedish startup founded in 2014 that is creating a new, sustainable way of producing the billion tonnes of plastics, nylons, rubbers, and all the other things that we touch on a day to day basis. We’re funded by well-known investors, have been recognised as Technology Pioneer by the World Economic Forum, and employ some of the best researchers in their respective fields. We’re now looking for a Data Engineer at the top of their game who wants to help us make the chemical industry sustainable and mitigate the threat of climate change.


What you’ll do
In our RnD labs we process hundreds of samples daily and each one of them has plenty of metadata associated to the design, simulation, execution and analysis of experiments. This data stream constitutes our main knowledge base and we are constantly improving our data pipelines in our Laboratory Information Management System (LIMS) far beyond "just storing data in the cloud".
We need your help to augment our RnD team's capacity to make smart and informed decisions and simplify experiment management by providing tools to handle each sample's digital twin. As a data engineer you will deep-dive into our database to develop and maintain scientific data entry schemas, but you will also create researcher-friendly data pipelines bridging the robustness of structured data to everyday lab activities. You will work to integrate our LIMS with our own robots and instruments, responsibly testing and deploying internal tools and assisting researchers to seamlessly adopt them.
Key tasks and responsibilities are:
Continuous development of custom bioinformatic software packages and their integration to our Laboratory Information Management System
Automate data import/export from Liquid Handling Robots and analytical instruments via scripting programming languages
Deploy templates for experimental procedures, sample digitalisation, capture results by documenting typical use cases and training users in the lab.
Design and implement database queries and visualisation schemas for advanced analytical studies

The position is based in Stockholm and may include some travel for research and development purposes.


What we can offer you
The opportunity to be part of something big and important
Getting to advance state-of-the-art technology
To work with world-class researchers on problems at the frontier of the field
Competitive salary and equity in the company
Start-up mentality. No red tape, lots of responsibility and ownership
A friendly, very multi-cultural, tight-knit group employing 36 people from 15 different countries
An environment where you’re free — and expected — to continuously learn and grow
One of the best cities in the world to live and work, and we offer relocation support and help you get set up. But don't take our word for the quality of life in Stockholm — instead just listen to this guy for five minutes: https://youtu.be/CAkdWUjdJyA



Who you are
We’re looking for people who share our passion for problem-solving with no toolkit boundaries. You have a scientific background and have worked in a lab before, so you understand the priorities of applied research and why a good data management system is important. Furthermore, you have developed multipurpose IT skills (Python and SQL are your bread and butter), and you have contributed with code to larger projects, so you are used to writing clear, maintainable and testable code.
In terms of personal qualities, we’re looking for someone who is passionate about their work, who gets things done without anyone telling them to, and who wants to push boundaries. And, not least, who is also a friendly, cooperative person. If this describes you, you’ll fit in with the rest of the team!