At Healx, we are discovering treatments for the 350 million people that are affected by rare diseases. Healx is a fast-growing Cambridge UK Biotech, combining computational methods and deep pharmacology expertise to identify existing drugs that may treat rare diseases, enabling new treatments to be found at a fraction of the time and cost of traditional drug discovery.
As a Data Modeller/Engineer at Healx you will be joining a cross-disciplinary team of highly-skilled computational biologists, biocurators, machine learning data scientists, engineers and pharmacologists who are passionate about meeting urgent unmet medical need through AI-powered drug discovery. You will be enabling our analytical workflows by modelling and provisioning data assets optimised for the latest AI technologies.
What you will be doing:
Working with scientists in a positive, collaborative environment to understand data needs, evaluate data sources and develop suitable models
Building production workflows to ingest and expose multiple structured and unstructured data sources
Supporting Healx AI drug discovery efforts by ensuring data sources are consistent, up to date and available
A graduate in a relevant informatics, mathematical, engineering or scientific discipline
Experience in life sciences / pharmaceutical sector and working with biological data
Experienced Python programmer, familiar with relational and/or NoSQL databases
Experience of Cloud computing
Previous experience of evaluating and introducing new technology
Ability to mentor and guide other team members in an agile environment
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