Data Engineer - Life Sciences, AI - Cambridge
Based just a short walk from Cambridge Station, this start-up is looking to add an experienced Data Engineer to their fast-growing team. Having created one of the world's most efficient AI platforms, you will be joining an organisation where your work has a very real and genuine positive impact on their patient's lives. The aim of the platform is to aid the process of drug discovery, making drugs more readily available for those who need them most. This not only provides the great benefit of treatments to the patients at a sooner date, but their treatments are found at a fraction of the cost, too!
Having recently gone through an extremely successful Series B round of funding where over £45million was raised, they are looking to double their talented team over the next 18 months to around 80 Scientists and Engineers who can continuously supply those in the greatest need.
Working in a team with other Data Engineers, Data Scientists, as well as a plethora of medical professionals, you will be granted the opportunity to work with some of the most forward-thinking, cutting-edge technologies on offer.
Skills you need to help you succeed in this role:
- Strong programming skills, ideally with Python (Scala and Java also considered)
- Familiarity with relational databases as well as NoSQL databases
- Working knowledge of Cloud computing across any of AWS, GCP or Azure
- Strong foundations in mathematics / engineering / scientific related disciplines
- Experience in Life Sciences / Pharmaceutical industries
- Previous work with ontological data
- Skills working with Structured, semi-structured and unstructured data
If you are an enthusiastic Data Engineer looking for a role which provides the opportunity for you to make a difference and really see the impact of your work, then look no further. On top of the more than competitive salary for the Cambridge area, you will receive share options in one of the fastest growing companies around. Working in a flexible, fast-paced, diverse working environment where development of your skills is paramount, this role provides you with the chance to make a big leap for your career.
Contact: Iain Moncaster - Data Engineering and Analytics, London
Telephone: 0191 338 6631
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