Full Stack Software Engineer, Cradle
Python/React
Protein design platform
Job no longer available
Protein design platform
21-100 employees
Job no longer available
21-100 employees
Company mission
To help replace traditional farms and factories with a more sustainable world.
Role
Who you are
- We're looking for full stack software engineers who are excited to peek out of the virtual world and join us on designing a platform for optimizing biological systems!
- Familiarity with designing user interfaces and are familiar with one or more popular frameworks (e.g. React)
- The Python programming language and its ecosystem. (FastAPI, uv, ruff, pyright, …)
Desirable
- Excitement about all parts of the software stack which is reflected in your past projects. At any given day you could be asked to design a REST API, contribute to a codon optimizer*, or design a UI plugin
- Databases and big data systems
- Production systems for machine learning applications
- Building containerized backend systems. (Docker, Kubernetes)
- You are kind and work well in teams. We look for team players and excellent communicators who contribute to a positive and friendly working environment
What the job involves
- Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature’s constraints and complexity
- As a full stack software engineer, you will be responsible for designing and developing a service-oriented decoupled web application, which exposes our advanced machine learning models to scientific end users
- Implementing lightweight and modularized web-based user interfaces and visualizations, e.g. to rapidly prototype new UIs as new API endpoints become available
- Architecting database designs to effectively store customer data, e.g. with consideration for how to represent the variability of biochemistry in future-proof ways (people invent new species of macromolecule all the time!)
- Owning large parts of the software design and development process. We are in an early stage of the company where you will majorly contribute to the software design of the product
- Building modern documentation stacks which automatically stay up-to-date, e.g. through pulling in OpenAPI specifications
- Collaborating with biologists, machine learning experts, and scientists alike, and becoming skilled in working in their domains
Our take
Designing proteins for a specific use or target is a complex task, with the functionality and structure of these macromolecules being difficult to model. Hence, protein design - essentially the "custom building" of proteins - is a relatively undeveloped part of molecular biology.
Cradle is hoping to help change this, by delivering a platform that designs custom proteins from a prompt. The idea is to apply the same large language models that are tackling language translation, chatbots, and web search, to biology - treating the code of DNA as it would any language.
The company's prospect is certainly an exciting one, with the range of applications for custom proteins spanning therapeutics, catalysis, cosmetics and many more. The tech is in its early days for now, and Cradle faces challenges such as determining when a suggested sequence is just incorrect, but as it develops further it will certainly be a company to keep an eye on.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Nov 2024
$73m
SERIES B
Nov 2023
$24m
SERIES A
Total funding: $103.4m
Company HQ
Jodenbuurt, Amsterdam, Netherlands
Leadership
Stef van Grieken
(Co-Founder & CEO)Worked at Google for 7 years, ultimately as Senior/Group Project Manager. Was also Chair Of The Board at the Open State Foundation for 7 years, and a former Founder in Residence at Startupbootcamp.
Jelle Prins
(Co-Founder)Also Co-founder at Operator Exchange. Former Director of Product Design for Uber, and founded Moop which was acquired by Uber.
Harmen van Rossum
(Co-Founder)Former PhD researcher at the Industrial Microbiology Section of TU Delft. Spent 3 years at Zymergen, working with the design, development and implementation of high-throughput, automated microbial genome engineering workflows.
Elise de Reus
(Co-Founder)Previously worked as a Scientist in Microbial Development for Zymergen, as well as on a Fungal Strain Engineering Project for Perfect Day. Also a Strategic Planner at FrieslandCampina, and developed a "Technology for Biobased Products" course for edX.org.
Eli Bixby
(Co-founder & Senior ML Engineer)Worked as a Software Engineer at Google for 5 years. Completed Summer Research Fellowships at Oberlin College and the Rensselaer Polytechnic Institute, as well as interning at Oregon Health Sciences University.
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