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Senior Bioinformatics Scientist - Drug Discovery
Location:
Cambridge
Department:
Pre-Clinical
Type:
Full-time
Senior Bioinformatics Scientist - Drug Discovery
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.
The role
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.
You’ll be:
- 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
We are looking for someone who has:
- 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
It’s a bonus if you have:
- 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
Working at Healx
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.
How to apply
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/
Senior Bioinformatics Scientist, Drug Discovery
Location:
Cambridge
Department:
Pre-Clinical
Type:
Full-Time
Senior Bioinformatics Scientist, Drug Discovery
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.
The role
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.
You’ll be:
- 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
We are looking for someone who has:
- 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
It’s a bonus if you have:
- proficiency with bioinformatics workflow managers and container technology
- experience with machine learning and/or knowledge graphs
- an understanding of L1000 or related datasets
Working at Healx
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.
How to apply
Follow the link to apply, quoting the above reference:
For more information about Healx and how we use your data please go to https://healx.io/privacy/
Senior ML Engineer
Location:
Cambridge
Department:
Type:
Full-time
Senior ML Engineer
Do you want to use your technical skills to help improve the lives of others?
About Healx
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.
Main duties and responsibilities..
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.
We'd love to hear from you if you have...
- 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
Desirable
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
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. 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.
How to apply
Please submit your CV and cover letter below or reach out to polina.turbina@healx.io to arrange a confidential discussion.
For more information about Healx and how we use your data please go to https://healx.io/privacy/
Start making a difference
Our mission is to achieve unprecedented rare disease impact by pioneering the next generation of drug discovery.
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 joining us you are helping build new treatments to tackle this huge unmet need.

Our people and culture
Our team is a diverse mix of expertise, experience and perspectives, but what unites us is our drive to make a positive difference to rare disease patients and their families.
We’re proud of our inclusive culture where individuals are encouraged to collaborate, lead and grow.
Our benefits
Remote and flexible working
Stock
options
options
Private medical insurance
Life
insurance
insurance
Generous pension contributions
Wellbeing
support
support
Enhanced
parental leave
parental leave
Regular team socials
A day in the life
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