Careers

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 is a mission-driven technology company pioneering the next wave of drug discovery to bring novel, effective treatments to rare disease patients around the world. There are over 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 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 $90 million to date, added over a dozen projects to its risk-balanced therapeutic portfolio, and built a cross-functional team of tech and drug discovery experts. For more information, visit Healx | Discovering new treatments for rare disease patients or follow on Twitter and LinkedIn.

This is a highly collaborative and cross-disciplinary role at the interface between digital sciences, pharmacology and business development. Through your creativity, scientific knowledge and drug discovery flair, you will design and implement compelling computational solutions to help Healx’s partners make an impact in the rare disease therapeutic landscape. This is an exciting role working on a variety of drug discovery projects and across different disease areas.

- generating and testing novel therapeutic hypotheses using our AI powered drug discovery approaches

- elucidating drug and disease mechanisms of action from Omics and other therapeutic data types

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

- developing, improving and maintaining algorithms that predict novel therapeutic hypotheses in collaboration with our machine learning scientists and other members of the digital science team

- working with our biotech and pharma partners to advance the next generation of treatments for rare disease

- 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, especially transcriptomics data, and a demonstrable ability to model biological principles into quantifiable hypotheses

- excellent proficiency with programming languages such as R and Python with a demonstrated ability to adhere to good coding practices

- working knowledge of chemogenomics databases (ChEMBL, Drugbank) and programmatic ways to query them

- Experience working with cloud computing services (AWS)

- Excellent communication and project management skills

- proficiency with bioinformatics workflow managers and container technology

- experience with machine learning and/or knowledge graphs

- an understanding of L1000 or related datasets

Do you want to use your technical skills to help improve the lives of others?

At Healx, we are discovering 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 needs and identify potential novel treatments for further testing. Healx is a fast-growing Cambridge UK Biotech, combining computational methods and deep pharmacology expertise to discover and develop drugs that may treat rare diseases, enabling new treatments to be found at a fraction of the time and cost of traditional drug discovery.

We are looking for a talented Machine Learning Engineer or Scientist to join our Digital Sciences Team and help us grow quickly by applying cutting edge machine learning approaches to drug discovery, image analysis and knowledge graph reasoning.

You will contribute to, build, improve and deploy our machine learning capability that underpins

our AI Drug Discovery workflows with a focus on:

- Automated reasoning over large knowledge graphs and proprietary methods for efficient generation of experimentally testable therapeutic hypotheses, including novelty, efficacy, safety and mechanism of action deconvolution

- Machine learning approaches to support the analysis and interpretation of Cell Painting

data, including image analysis, feature extraction and classification of organelles in response to chemical and genetic perturbation

You will be following ML best practices and automatically deploy 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.

- An advanced degree (masters, PhD) in machine learning or related field with focus on applied research

- Prior work experience in machine learning, artificial intelligence, image processing or related fields

- Strong experience with major deep learning frameworks: Tensorflow, Pytorch or related systems in distributed environments.

- Experience implementing machine learning workflows

- Professional experience working with life sciences data in Biotech or Drug Discovery

Strong python software development experience

Experience or interest in applying deep learning to large graphs or imaging data

Experience or interest in the applications of generative AI and Large Language Models

Experience using AWS cloud infrastructure

Familiarity with Docker

Good cross-discipline collaboration and communication skills