Computational Biologist - London

London (2 days per week onsite)
Permanent Position
£60,000 - £80,000 per annum
**No sponsorship available**
Must be a UK Citizen with no work restrictions**
 
THE ROLE:
This role would be ideal for a Computational Biologist who has experience in developing algorithms and data pipelines focused mainly on structural biology.

The focus for this position will be collaborating with research engineers and other computational biologists to develop new and innovative approaches in molecular modelling, protein interactions, protein designs, and other related domains by utilising technical, analytical, and research skills.

The ideal candidate will have a keen interest in the development of classical modelling algorithms and machine learning, an understanding of the underlying bioinformatics and business problems, and a desire to identify and harness the right technologies to solve problems, improve the existing solutions, and support the commercial deployment.

You'll help develop and implement computational biology tools and software to support the clients platforms and get involved with multi-functional teams in order to deliver proof of concepts and minimum viable products, in addition to ensuring continuous improvement for existing solutions.
 
THE CLIENT:
They are a global provider of AI decision-making products for businesses, with headquarters in London and offices in Europe, Africa, the Middle East, and the US.
They have been recognised as a top 100 global AI start-up by CB Insights and a top 100 European B2B company by Sifted.
The company fosters a dynamic environment and partners with prominent firms and universities to stay at the forefront of cutting-edge technology.
They are an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.
 
RESPONSIBILITIES:
- Design, implement and deliver complex pieces of research and engineering in the area of computational biology.
- Use classical and/or deep learning biology tools and large biological databases to perform protein design, molecular modelling, and other relevant tasks.
- Communicate and collaborate with research engineers in a multi-functional team with an open-minded and research-driven aptitude.
- Conduct rigorous data analysis and statistical modelling to understand the underlying architecture of biological data and hidden biases in machine learning models.
- Report results clearly and efficiently, both internally and externally, verbally and in writing.
- Understand and follow the latest developments in both biology and machine learning for structural biology and relevant applications.
- Write high-quality, maintainable, and modular code together with concise documentation.
 
ROLE REQUIREMENTS:
- Master, PhD degree or equivalent experience in Structural Biology, Bioinformatics, Data Science or related scientific field.
- Extensive experience working with large biological datasets, databases (PDB, Uniprot, etc.) and their API technologies as well as some hands-on experience in machine learning, natural language processing, or deep learning applied to biological problems.
- Good software engineering experience (Python, Docker, Linux, Git).
- Experience working with structural biology-related tools such as PyMol. 
- Experience with protein structure modelling and/or simulation is desired.
 
Relevant areas of experience might include but are not limited to, direct application computational methods (Deep Learning or Classical) to protein engineering, drug discovery, investigation of allosteric interactions or other functionally important conformational changes in biological molecules, structure/design prediction for proteins, analysis of effects of mutations on protein function and interactions, sequence/-or-/structure based evaluation of protein-based signalling, modelling of protein-protein interactions, or study of fundamental biophysical problems, such as protein folding.
  
This company is an equal opportunity employer and value diversity.
 
They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
** If you're interested in this opportunity, please submit your CV via the link provided
 
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