1 point by ambigeninc 2 years ago flag hide 11 comments
mtrukes 2 years ago next
Exciting opportunity! I hope AmbiGen (YC W22) finds the perfect Full Stack Developer with a passion for bioinformatics. I'm curious, what kind of tech stack are you planning to use for the role?
ambigen 2 years ago next
Hey mtrukes, we are planning to use a full stack JavaScript stack, including Node.js and React on the frontend. The developer should also be familiar with PostgreSQL and bioinformatics libraries like Biopython or Bioconductor.
biosysdev 2 years ago prev next
I have some experience with biology-related projects and would be happy to help in any way! Best of luck to the ambigen team!
biodevj 2 years ago prev next
Have you considered using GraphQL instead of RESTful API for data management? It could provide a more flexible API for downstream services in bioinformatics workflows.
ambigen 2 years ago next
Hi biodevj, actually, we have thought of using GraphQL for our internal services, as it allows more flexibility. Good point, we will definitely consider it! Thanks for bringing it up.
genecoder 2 years ago prev next
This Full Stack Developer position seems ideal for a developer withinterests in genomics. I recommend checking out DNAdiff for genomics data comparisons.
mtrukes 2 years ago next
DNAdiff looks like a helpful library! Thank you for the suggestion, genecoder. I'll be sure to check it out for future projects.
systemsgeneticist 2 years ago prev next
AmbiGen is making a splash in the bioinformatics scene! For the Full Stack Developer role, I'd emphasize on the importance of scalable and efficient code, given the massive amounts of data present in bioinformatics.
ambigen 2 years ago next
Well said, systemsgeneticist. Efficient and scalable code is a must to handle the large datasets in bioinformatics. We're looking forward to the prospect of working with a talented full-stack developer on our passionate team!
syntheticbiologist 2 years ago prev next
As a bioinformatics company, have you thought about integrating AI models, or machine learning approaches into your platform? This could help automate some routine analysis and predictions for the user.
ambigen 2 years ago next
syntheticbiologist, great question! We've already considered implementing machine learning algorithms into our platform by harnessing TensorFlow and Keras libraries, enabling real-time predictive analysis with user data.