Job:NLP and Deep Learning, Healx, Cambridge UK
Entering edit mode
5.1 years ago
Richard Smith ▴ 400

Hi all,

Healx is a growing life science tech startup company in Cambridge, UK. We're hiring a developer to work on biomedical NLP and machine learning, please get in touch if you have any questions: We also have some other open technical positions:

Richard, Head of Software Engineering, Healx

NLP and Machine Learning Developer

Location: Cambridge, UK

Start Date: Immediate

Salary: A competitive package including share options

Closing Date: 12th November 2017

Healx is a Cambridge, UK startup using computational methods to identify existing drugs that may treat rare diseases. We’re hiring an NLP and Machine Learning Developer to analyse biomedical text.

1 in 17 people will have a rare disease at some point in their lives: that's 3.5 million people in the UK alone. 75% of rare diseases affect children, and are often chronic or fatal: 30% of patients with rare diseases will die before their fifth birthday. Our approach can find potential treatments for these patients at a fraction of the time and cost of traditional drug discovery.

At Healx we integrate and analyse a wealth of data on drugs and diseases, employing machine learning, natural language processing and computational biology to predict new uses for existing drugs. This is an opportunity to apply the latest developments in NLP and deep learning to have a real impact on patients' lives.

What you'll do

You'll implement and improve software to perform large-scale biomedical text mining and natural language processing. The software will identify and characterise relationships between biological entities for inclusion in our extensive knowledge base and drug repurposing prediction pipelines. You will use a range of cutting-edge NLP approaches, including deep learning methods. You'll also develop machine learning algorithms to operate on the resulting knowledge base.

You will balance novel R&D with advancing code to production systems. As the primary NLP developer in a growing startup you'll contribute novel ideas and influence our technical direction.

You’ll work closely with other members of Healx, who have experience in machine learning, bioinformatics, cheminformatics and software engineering. We believe in working sustainably, meaning taking care of yourself and getting things done without working long hours. We care about the quality of our work, its impact on patients, and each other.

Who we’re looking for

We're looking for a talented developer who is able to use their experience in NLP to help solve problems that really matter.

The ideal candidate shall:

  • Be educated to at least Master's level in computer science, bioinformatics or related discipline, or have equivalent experience
  • Have significant experience in natural language processing, ideally in the biomedical field, and thorough understanding of appropriate validation methods
  • Have a solid understanding of machine learning approaches, ideally including deep learning applied to NLP
  • Have significant programming experience, ideally in Python Knowledge of NLP and machine learning libraries, such as NLTK, Spacy, sklearn, Tensorflow or Theano
  • Be flexible, proactive and able to implement practical solutions rapidly; able to work independently, learn fast and contribute novel ideas

We don't expect you to meet all of these requirements, and will consider someone with less experience and strong desire to learn. We're looking for someone who will thrive in the dynamic environment of a startup company and is excited by the company's mission.

How to apply

To apply, please email with your CV and a covering letter explaining why you’re interested in the role.

Closing date for applications is 12th November 2017

About Healx

Healx is a Cambridge, UK startup using computational methods to identify existing drugs that may treat rare diseases, allowing treatments to be found at a fraction of the time and cost of traditional drug discovery. There are over 7,000 rare diseases that affect an estimated 350 million people worldwide, most of which lack effective treatment. We work closely with patient groups and charities to find therapies for rare diseases that may not otherwise receive sufficient research investment.

For more information see

NLP text mining machine learning deep learning Job • 1.8k views

Login before adding your answer.

Traffic: 2903 users visited in the last hour
Help About
Access RSS

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6