Hi from Asimov! We’re a small team of HNers fresh off of our seed funding lead by Andreessen Horowitz. We’re fueled by a vision to transition synthetic biology to a fully-fledged engineering discipline. Check out some of our work at www.github.com/CIDARLAB/cello and our mission at www.asimov.io/blog
Search Keywords: deep learning, sequence to sequence learning, bioinformatics, cloud infrastructure, python, tensorflow, microservices, biotech, Boston, Cambridge
Prerequisites:
* 4+ years hands on experience as a SWE or ML engineer in industry
* ML engineer: knowledge of modern methods in reinforcement learning, generative adversarial models, breadth of knowledge across supervised and unsupervised learning and experience applying these models in software
* SWE: knowledge of cloud infrastructure, large scale data warehousing, build/test/deploy platform development
Biological data scientist: proficiency in scripting, statistical analysis of genomic data sets, NGS, flow cytometry reads and RNAseq
Excitement to learn a tremendous amount about genetics, bio hacking, genetic circuit design
* Excitement to own your own roadmap and prioritization
Perks
* We believe in creating a lifelong company by avoiding burnout and focusing on long term impact
* Frequent team lunches, happy hours, offsites (borda borg!), snacks and a fully stocked coffee lab
If you’re interested please send me an email at joe@asimov.io or apply online at www.asimov.io/careers