Our portfolio companies are always looking for great people. Apply to the opportunities below or send us your profile.

Data Engineer at Healx
Cambridge, GB

Start Date: Immediate preferred

Salary: Competitive compensation package including share options, subject to experience

Closing Date: 31st October 2019

About Healx

At Healx, we are discovering  treatments for the 350 million people that are affected by rare diseases. We work with pharma companies, patient groups and charities to understand clinical unmet need and identify potential novel treatments for further testing. 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 Data Engineer at Healx you will be joining a cross disciplinary Team of highly skilled computational biologists, biocurators, ML data scientists, engineers and pharmacologists who are all passionate about meeting urgent unmet medical need through AI powered drug discovery. You will be enabling our analytical workflows by provisioning data assets and models optimised for the latest AI technologies.   

Activities will include:

  • Building production workflows to ingest and expose multiple structured and unstructured data sources
  • Working with scientists to understand data needs, evaluate potential data sources and develop suitable models
  • Supporting Healx AI drug discovery efforts by ensuring data sources are consistent, up to date and available

Our ideal candidate: 

  • A graduate in a relevant informatics, mathematical or engineering discipline with at least 3 year developing computational data solutions in industry. Experience in life sciences / pharmaceutical sector and working with biological data preferred
  • Accomplished programmer in Python and familiarity with relational and NoSQL databases
  • Experience with cloud computing environments
  • Passionate about applying their engineering skills to foster data driven collaboration 

To apply please email your CV and cover letter. Applying by any other means may not be successful. 


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