I'm the founder of Neutreeno, a deep tech spinout of the University of Cambridge. We just raised a US-led $5m seed round from leading global investors in circularity, sustainability and corporates to change the way the world decarbonises at scale across complex value chains. Featured last 2 weeks in:
- https://www.businessweekly.co.uk/posts/neutreeno-poised-to-c... - https://finance.yahoo.com/news/cambridge-scientists-secure-5... - https://esgpost.com/cambridge-scientists-secure-5m-funding-t...
We're growing quickly and looking for two full stack software engineers (one with a more models focus and one with more of a front-end focus).
You can find the gigs:
1. https://neutreeno.notion.site/Senior-Full-Stack-Software-Eng... 2. https://neutreeno.notion.site/Senior-Full-Stack-Software-Eng...
Let me know if you have questions or interest!
E9 Genomics (https://e9genomics.com) is hiring a few great engineers to join us on a mission to organize the world's biological information and make the complex, enormous world of biological data feel small and accessible. We're not building data infrastructure or workflow orchestrators, we're building a search engine for all biology. We're looking for:
- a founding software engineer, a product-minded generalist with experience working across the stack who thrives building technology that surfaces new scientific insights. (https://e9genomics.notion.site/Founding-Software-Engineer-c5...)
- a founding data engineer, who lives in the middle of data science, software engineering, and ML engineering, and is excited to build and use new technologies (including LLMs) to accelerate biological data curation by two orders of magnitude. (https://e9genomics.notion.site/Founding-Data-Engineer-6975fc...)
At the Broad, I built new compilers and query optimizers[1] to make petabyte-scale population genomics possible, and my co-founder led product for the Genome Aggregation Database[2], the largest public database of human genetic variation (which has contributed to over 6 million rare disease diagnoses!). We've seen firsthand how the ability to explore biological data in real time doesn't just let scientists answer the same questions faster, but rather leads to fundamentally different questions and a new level of understanding. We also know from experience that the tools from the tech industry often don't translate well to biology, and that we need to be fearless in adapting or rebuilding whatever is necessary to get the job done.
We're backed by an incredible set of investors and angels, including Jeff Dean, and we're excited to have the chance to build some awesome & impactful technology with some awesome people.
Email me to learn more: tim@
[1] https://github.com/hail-is/hail [2] https://gnomad.broadinstitute.org/