Senior Machine Learning Engineer (NLP)

Start Date: Negotiable

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

Closing Date: 28/2/2022

About Healx

Healx is a mission-driven technology company pioneering the next wave of drug discovery in order to bring novel, effective treatments to rare disease patients around the world. There are 7,000 known rare diseases that affect 400 million people across the globe, but only 5% of those conditions have an approved treatment. By combining frontier AI technology with deep drug discovery and development expertise, Healx can accelerate the pace, increase the scale and improve the chance of success of rare disease treatment development in order to meet this huge unmet need and have an unprecedented patient impact.

Founded in Cambridge, UK, in 2014 by Dr Tim Guilliams (a Biochemical Engineer and tech entrepreneur) and Dr David Brown (former Global Head of Drug Discovery at Roche), Healx has raised $70 million to date, added over a dozen projects to its risk-balanced therapeutic portfolio, and built a cross-functional team of over 90 tech and drug discovery experts. For more information, visit Healx | Discovering new treatments for rare disease patients or follow on Twitter and LinkedIn.

You’ll be:

As a Senior Machine Learning Engineer at Healx, you'll be building, improving and deploying our machine learning capability consisting of state of the art NLP solutions for the biomedical domain, automated reasoning over large knowledge graphs and proprietary methods for efficient drug repurposing. 

You will be following ML best practices and automatically deploying models on both cloud or on-premise specialised hardware. You will be working on the latest trends and methods in the field and publications in major journals/conferences are encouraged.

We’re looking for someone who has:

• An advanced degree (masters, PhD) in machine learning or related field with focus on applied research 
• Prior work experience in machine learning, artificial intelligence, natural language processing or related fields
• Strong experience with major deep learning frameworks: Tensorflow, Pytorch, possibly in a distributed environment.
• Experience implementing machine learning workflows

It’s a bonus if you have:

• A strong software development experience (preferably in Python)
• Experience with distributed data and computing tools like Spark or Apache Beam.
• Experience or interest in applying deep learning to large graphs.
• Experience using AWS and/or GCP cloud infrastructure
• Familiarity with Docker and orchestration services like Kubernetes

We expect you to be passionate and have a genuine interest in the areas highlighted above. If you are missing some of the skills don't be deterred as we will provide support and training where needed.

Working at Healx

Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance. 

Currently, we are working fully remotely and expect that we will operate a hybrid model once things return to ‘normal’. As such applications are welcome from candidates based anywhere in the United Kingdom who will be welcome to continue to work remotely with the expectation that they will visit the office as needed for face to face meetings when it is safe to do so. 

You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans.

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. 

For more information about Healx and how we use your data please go to https://healx.io/privacy/