Job: Join Healx as a Scientific Programmer to find new treatments for rare disease patients (Cambridge, UK)
gravatar for Richard Smith
17 months ago by
Richard Smith400
Cambridge, UK
Richard Smith400 wrote:

Hi all,

We're hiring a Scientific Programmer to develop algorithms and pipelines to repurpose drugs for rare diseases. We're a rapidly growing startup with a strong mission, based in the centre of Cambridge.

We look forward to hearing from you!


Location: Cambridge, UK

Start Date: Immediate start preferred

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

Closing Date: 26 April 2019

About Healx

At Healx, we’re finding 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 treatments for further testing. Healx is a fast-growing Cambridge UK startup, combining AI, computational biology methods and deep pharmacology expertise to identify existing drugs that may treat rare diseases, enabling treatments to be found at a fraction of the time and cost of traditional drug discovery.

The role

We’re looking for a Scientific Programmer to help develop our data driven drug repurposing workflow. You’ll work closely with people from other disciplines across the company who are passionate about making a difference for rare disease patients, allowing you to see the impact of your work first-hand.

You’ll be joining a team of computational biologists, AI data scientists, software engineers and pharmacologists to develop the next-generation, AI-enabled drug discovery workflow. You should be experienced in algorithm development, applying machine learning methods to big data, and have a passion for developing robust computational workflows.

Your activities will include:

  • Developing scalable drug and disease-matching algorithms by coding scientific notions of how a drug and disease are connected through our workflows
  • Provisioning computational pipelines to enable our pharmacologists and data scientists to discover new repurposing candidates
  • Improving the success of clinical trials by implementing statistical methods to identify responder patients
  • Maintaining our translational medicine computational workflows

Our ideal candidate would be:

  • A graduate in relevant bioinformatics, molecular informatics, mathematical or engineering discipline with at least three years experience developing solutions for biotech or pharma
  • An expert scientific programmer in Python and one or more of R, Matlab, C++
  • An expert user of domain-specific developer kits SciPy, scikit-learn, BioConductor, RDKit
  • Deeply interested in extracting novel insight from Pharma Big Data
  • Keen to apply modern machine learning methods, statistics and deep learning to develop treatments and improve the outlook for rare disease patients

Please click here to apply

drug repurposing R job python • 495 views
ADD COMMENTlink modified 17 months ago by noorpratap.singh300 • written 17 months ago by Richard Smith400

Is the option to work remotely available?

ADD REPLYlink written 17 months ago by noorpratap.singh300


We offer preference to those that can work in the Cambridge office but will consider remote working, occasionally, if an exceptional candidate applies.

Kind Regards


ADD REPLYlink written 17 months ago by jobs0
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