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 unprecedented patient

impact.

Founded in Cambridge, UK, in 2014 by Dr Tim Guilliams (a Biochemical Engineer and tech entrepreneur) and Dr David Brown (co-inventor of Viagra and 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.

As a member of the Digital Science team, you will be an integral part of an enthusiastic cross disciplinary group of pharmacologists, cell biologists, data scientists and engineers who are all committed to making the best of their skills and knowledge to accelerate the discovery and development of rare disease treatments, allowing you to see the real world impact of your work first hand.

- elucidating drug and disease mechanisms of action from Omics and high content imaging data

- applying bioinformatics algorithms to assist our pharmacologists and wet lab scientists in establishing an understanding of why a drug may treat a disease

- optimizing our data analysis workflows for high-throughput compound and CRISPR screens

- developing algorithms to predict novel therapeutic hypotheses in collaboration with our machine learning scientists and other members of the digital science and biosciences teams

- Graduated in a relevant bioinformatics or computational biology discipline with experience in applying your skills to improve human health

- Drug discovery or other translational medicine experience

- Experience with navigating and understanding a wide range of biological data, and a demonstrable ability to model biological principles into quantifiable hypotheses

- Familiarity of statistical programming languages such as R and Python

- The motivation to thrive in an agile cross functional team and is an effective communicator of scientific ideas to a wide ranging audience

- Previously worked with high dimensional biological data sets in a drug discovery setting

- familiarity with gene editing and CRISPR screens

- knowledge of descriptors of pharmacological compounds

- Experience with statistical modelling and machine learning

Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station and at Chesterford Research Park. 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 operate a hybrid working model. As such applications are welcome from candidates based anywhere in the United Kingdom who will be welcome to continue to work partially remotely with the expectation that they will visit the office and labs driven by the needs of the work.

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.

Follow the link to apply or reach out directly to polina.turbina@healx.io. For more information about Healx and how we use your data please go to https://healx.io/privacy/