- Data Science
About the role
Computational Biologist – London Hybrid - £80k
We’re looking to speak with Computational Biologists to develop algorithms and pipelines for structural biology.
Who are we?
We’re the AI startup that's changing the game! With top-notch researchers, developers, and data scientists, we're pushing the boundaries of what's possible with deep learning. Our customized AI models and consultation services are transforming industries like healthcare, finance, and transportation. And with a passion for academic research, we’re advancing the field of AI and propelling us towards an exciting future where AI is an integral part of our daily lives.
You’ll join 300+ colleagues, with a further 180 joining this year across the globe and will be working mostly remotely whilst we secure a bigger London office, following which you may required to work in the office 2/3 days a week.
Who are you?
As part of our BioTech team we’re looking for a Computational Biologist to work with the Engineering team to identify problems in the bioinformatics industry and apply machine learning solutions.
You will have:
- Strong coding in Python
- Experience with large biological datasets, databases (PDB, Uniprot, etc.)
- Experience with machine learning, deep learning and NLP
- Experience with biology-related tools such as PyMol
What are we offering
Our colleagues have joined us because of the impact we are making on the world, partnering with some of the leading companies and institutions in the world to solve some of the most complex challenges affecting humankind.
We’ve recently been acquired by one of the largest BioTech firms in Europe and in the process of reviewing our overall package, but we currently offer upto £80,000 base salary, 25 days holiday and 3% pension, along with equity and a discretionary bonus.
How do I find out more?
If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
- Email me at email@example.com
- Call me on 02037736498