Data lies at the heart of all successful life science organisations.

Colossal amounts of data is analysed by AI for quicker and more accurate diagnoses, efficient identification of drug discovery targets, and even unprecedented breakthroughs in the growing microbial resistance to antibiotics.

As a result, there is increasing activity around AI and CNNS, and rightfully so. None of this would be possible, however, without the unsung heroes that are Data Engineers.

Data Engineers create and build scalable data pipelines for automated ingestion of data, which is then structured for AI analysis. Data Engineers work closely with clinical teams to understand the complex data they’re handling before ETL duties are carried out, and thus require a thorough understanding of biomedical concepts.

We have developed an enviable network of Data Engineering candidates up to and including the leadership level who possess impressive life sciences experience and thus understand data procedures and regulatory requirements.