Lifebit is building the world’s first intelligent genomics platform that understands DNA data and generates meaningful insights.

We just closed an over $3M funding round from two major London funds after graduating from Techstars London 2017's cohort.

We are building a cloud-based cognitive system that can reason about DNA data like humans do. This offers researchers/R&D professionals, and their corresponding organisations (ie. pharmas), a highly scalable, modular and reproducible system that automates the analysis processes, learns from the data and provides actionable insights.

There is a variety of applications for the Lifebit software, from determining the long-term effects on the human body of eating GMO food, to helping governments better understand the genetic diversity of their populations. In addition, LifeBit can be particularly useful in helping pharmaceutical companies deliver drugs, which are better tailored to the needs of the individual patient.

Lifebit’s unique technology enables personalised medical breakthroughs and advanced R&D. Potential clients for the product include hospitals, food & agricultural businesses, cosmetics companies, biofuel producers, and many more. If widely-implemented, Lifebit’s technology is going to reduce state spending for genomics R&D by over 20%. In addition, the startup eliminates the computational difficulties in analysing cancer patients data.

Our tech team is split out into:

Engineering and Machine Learning:
* Stack: Node JS, React, MongoDB
* Building Lifebit’s platform.

Bioinformatics and Genomics:
* Building Lifebit’s genomics modules: end-to-end solutions for specific operations and analysis.

Lifebit’s founding team has over 30 years of combined experience in the field - they know first-hand what the need is and how to build the right technological solution to address its pain-points. Prior to founding Lifebit, they worked on building the programming language that is predominantly used in the genomics world to develop applications that are faster and better at analysing DNA data - Nextflow (https://www.nextflow.io/) published on Nature Biotechnology.

Our Interview Process

1. Short phone call with our COO - Margarida - who will explain to you all about Lifebit, the role and get to know you better!
2. Coding challenge - It tests your algorithmic thinking and reasoning more than your coding skills - meaning that we won't look at the code as much as the solution to the problem itself. It takes up to 5h to complete and you can do it at any time you'd like.
3. Join us for half a day at the office, where you'll meet the team, join us for lunch and we'll dive deeper into your experience and how it's matched with the role.

This is our typical interview process, but is subject to change where necessary.