Job:Bioinformatics Data Scientist, Healx, Cambridge UK
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6.8 years ago
Richard Smith ▴ 410

Hi all,

We're hiring for several positions at Healx, we use in-silico analysis (machine learning, computational biology and pharmacology) to repurpose existing drugs for rare diseases. Please see https://healx.io/careers/. Let me know if you have any questions: richard.smith [at] healx.io

Richard.

Closing date is Sunday 18th February 2018


Location: Castle Park, Cambridge, UK

Start date: Immediate start preferred

Salary: A competitive compensation package including share options, subject to experience

Closing date: 18th February 2018

About Healx

Healx is an award winning Cambridge based biotechnology company committed to radically reducing the time it takes to deliver novel drug treatments into clinical practice. Healx is implementing disruptive drug repurposing technologies to improve therapeutic choice for patients with rare diseases. There are over 7,000 rare diseases that affect over 350 million people worldwide, most of which lack effective treatments. Healx works closely with patient groups and biotech companies to help those patients in need.

A unique opportunity has arisen for a motivated computational biologist, bioinformatician, or data scientist to join the bioinformatics team and extend Healx's portfolio of drug repositioning capabilities.

Tasks

You will support our patient group and Pharma clients by developing Healx's in silico drug prediction technologies, through drug matching algorithm and tool development.

Skills and experience

You will be an experienced computational scientist, molecular informatician or bioinformatician with a proven track record of developing algorithms for medical needs. You will have a strong mathematical background, and share a passion for translational research with a desire to improve human health.

Essential requirements

  • PhD in computational biology or related data sciences
  • Previous experience in drug target discovery
  • Biological pathways and networks analysis using modern systems biology approaches
  • Data modelling, machine learning, and optimization methods
  • Graph and network theory
  • Expert user of statistical programming languages, R and Python

Additional requirements

  • Experience working with genomic and proteomic data
  • Demonstrable skills in reducing scientific ideas to prototype analytical tools
  • Experience using relational databases or Neo4J
  • Excellent communicator

We are looking for enthusiastic informaticians, computational and biomedical scientists who are keen to contribute novel ideas and help us rapidly expand.

Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance.

How to Apply

To apply, please send an email with a covering letter and CV to jobs@healx.io. Further information is available at https://healx.io. The closing date for applications is 18th February 2018.

systems-biology network-analysis • 2.2k views
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