Building AI to Beat Cancer and Other Complex Diseases
Complex diseases like cancer act across a wide range of cellular pathways, known as networks. These networks are robust, with built in redundancies, making them incredibly difficult -or even impossible- to drug.
Is there a way to map these networks to identify the key pathways and find druggable targets within them?
This is the question being answered by the fastest-growing Biotech in the field of AI-driven drug discovery.
Founded in 2011 and based in Oxford, the company has grown year-on-year to become one of the major competitors in the market. Their AI-driven platform is the most advanced and sophisticated of its kind in the UK – and they need you to help expand it.
You will be working within a functional team composed of data scientists, bioinformaticians, biologists and chemists to support the scaling of the platform through increased automation of data processing pipelines and workflows, whilst implementing new functionalities to help facilitate the drug discovery process – the work is novel, varied and challenging on a day to day basis.
The company welcomes constructive discussions between all employees, valuing honesty and authenticity in the workplace. It is a fun and collaborative work environment with an incredible opportunity to work with some of the best scientific talent in the country.
The progression opportunities here are also excellent – the company has more than tripled in size since being founded and there are no signs of this slowing.
The company are offering a very competitive salary with a performance bonus, 10% pension scheme and remote working options.
If you are an experienced, generalist Data Engineer, proficient in Java, Python or R with a strong understanding of Agile working methods and a desire to help others through smarter drug discovery, this could be the one for you.
If you are interested, apply online here or contact email@example.com for more information.
We look forward to hearing from you.
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