Healx
Careers
Bioinformatician
Location:
Cambridge
Department:
Pre-Clinical
Type:
Full-Time
Bioinformatician
About Healx
Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery.
Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.
Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills from all walks of life and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply!
Our values
• Care for Rare – Rare disease patients are at the heart of what we do
• Grow as individuals – We are learners always seeking to enhance our expertise
• Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together
• Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards
The role
Healx is looking for an enthusiastic Bioinformatician to join the Digital Sciences team to play a key role in Bioinformatic activities that improve outcomes for rare disease patients by discovering drug combination therapies with improved efficacy and safety over standard of care. This role will enhance the capabilities of our AI Drug Discovery Platform. You will support development of novel algorithms for the prediction of drug synergy and polypharmacology required by our growing portfolio of Rare Neurology and Oncology Programmes. You will partner closely with and report to the Senior Director of Digital Science to plan, develop and deliver algorithms and bioinformatic workflows that generate therapeutic hypotheses. You’ll be closely collaborating with Pharmacologists, Biocurators, Data Engineers, Bioinformaticians, Cheminformaticians and Machine Learning Engineers & Scientists to deliver in silico predictions that will be experimentally tested. Owing to the unique cross functional and highly collaborative Healx Team, the research you perform will be rapidly translated to meaningful outcomes, with the potential to improve patient quality of life.
Key responsibilities
Application of drug combination prediction algorithms to generate and rationalise novel therapeutic hypotheses for Healx portfolio of rare diseases Innovation and improvement of Healx drug combination technologies Supporting the Healx Preclinical Team to deliver the best outcomes for rare disease patients by ensuring our AI Discovery Platform is maintained
You will know you are successful when
Digital Science delivers the best treatment predictions with highest chance of clinical and commercial success to our Pharmacologists Algorithm and workflow improvements you’ve contributed are applied in active Preclinical Discovery Programmes You are actively developing high quality code in collaboration with colleagues, and receiving great feedback on your commits
What we're looking for
You have experience in Biotech or Pharma Bioinformatics, a background in human disease biology, and you’re now looking for your next challenge. You are excited about taking on new projects and responsibilities in a mission-driven startup. We'd love to hear from you if your experience and interest overlaps with this profile: Bioinformatics, especially processing multiomics, compound bioactivities or other life sciences data for the discovery of drug combinations Reduction of algorithms to code, especially in Python, R, and Nextflow Pipelines Hands-on and collaborative approach to Bioinformatic algorithm and workflow development Interest in biotech/ techbio and its impact of improving patient outcomes It’s a bonus if you have: Experience estimating synergy, polypharmacology or adverse events Familiarity with network biology methods, elucidation of signalling pathways and gene set enrichment A keen interest in Bioinformatic Engineering standards A background in health-tech or life sciences
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 and we are open to discussing flexible working arrangements. 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 is a distributed team, and operates a hybrid working model. 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. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate
What’s on offer
• Financial - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary
• Health and Wellbeing - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme
• Hybrid Working - Flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration
• Family Friendly - Enhanced family leave policies and flexible working practices
• Personal Development and Growth - Personal learning and development budgets, regular personal development conversations and career support
• Community Engagement and Support - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases
Machine Learning Engineer
Location:
Cambridge
Department:
Technology
Type:
Full-Time
Machine Learning Engineer
Do you want to use your Machine Learning skills to help discover treatments for rare disease patients?
The role
Healx is looking for a talented Machine Learning Engineer to join our Tech team to help develop our drug discovery platform and discover new treatments for rare diseases.
This role will report to our Director of Tech Strategy and will contribute to developing and applying cutting edge machine learning approaches, knowledge graph reasoning and agentic workflows that underpin our Drug Discovery workflows to find novel treatments for rare diseases.
You will be part of a highly cross-functional and collaborative team that brings together machine learning engineers, software engineers, bioinformaticians and drug discovery scientists. You will work closely with domain experts to translate complex biological questions into robust, scalable machine learning solutions, and your work will have a direct and meaningful impact on our drug discovery programmes.
We encourage you to provide a covering letter to explain why you think you'd be successful in this role.
About Healx
Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply!
Our values
Care for Rare – Rare disease patients are at the heart of what we do
Grow as individuals – We are learners always seeking to enhance our expertise
Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together
Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards
Key responsibilities
Build automated reasoning over large knowledge graphs and proprietary methods for efficient generation of experimentally testable therapeutic hypotheses
Contribute to building, maintaining and improving our rare-disease knowledge graphs used to identify and reason over novel therapeutic hypotheses
Develop agentic tools and workflows to enable our teams to unlock insight from proprietary data and large datasets
Contribute and advocate for best engineering practices across our tech teams
What success will look like in 6 months
You’ve built a strong understanding of Healx’s drug discovery workflows, our rare-disease knowledge graphs and the key users of our platform
You’ve delivered at least one meaningful improvement to our knowledge graph reasoning or hypothesis-generation stack (from prototype through to production), with appropriate evaluation, testing and documentation
You’re operating effectively in our hybrid, cross-functional environment—communicating progress and trade-offs clearly, partnering well with scientists and engineers, and demonstrating ownership from discovery through delivery
You’re consistently applying and advocating for strong engineering practices (e.g., code quality, reviews, reproducibility, experiment tracking, monitoring/observability where relevant), helping raise the bar across the team
What we're looking for
You have 2-5 years professional (in academia or industry) experience in machine learning, artificial intelligence or related field
You are excited about taking on new challenges and responsibilities in a mission-driven startup aiming at improving patient outcomes
You have an advanced degree (masters, PhD) in machine learning, biochemistry or related field with a focus on applied research or equivalent industry experience applying machine learning to complex real-world problems
You have a strong software development experience in Python and a good appreciation of the principles of software engineering
You thrive in a highly cross-functional environment and you appreciate the opportunity to step up and leave your mark by taking ownership of meaningful technical challenges, contributing ideas that shape the direction of our platform and driving solutions from concept through to deployment
You are able to work independently to scope, plan and deliver end-to-end machine learning solutions, managing your own priorities effectively and communicating progress and blockers proactively
You are comfortable navigating a degree of ambiguity, making pragmatic decisions when needed, and you know when to seek input from the broader team to ensure quality and alignment
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 and we are open to discussing flexible working arrangements.
We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming.
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. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate.
What’s on offer:
Financial – Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary
Health and Wellbeing – Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme
Hybrid Working – We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration
Family Friendly – Enhanced family leave policies, miscarriage and fertility leave, flexible working practices
Personal Development and Growth – Personal learning and development budgets, regular personal development conversations and career support
Community Engagement and Support – One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases.
For more information about Healx and how we use your data please go to https://healx.ai/privacy/
Platform Engineer
Location:
Cambridge
Department:
Technology
Type:
Full-time
Platform Engineer
The role
Healx is hiring a motivated Platform Engineer to build cloud infrastructure and develop production pipelines that enable our AI drug discovery process. You will bridge the gap between infrastructure and scientific software, both designing, building and supporting cloud infrastructure and collaborating with bioinformaticians, machine learning engineers and data scientists to implement data pipelines.
You will join a small, agile engineering team where individuals take ownership of tasks, innovate quickly and collaborate extensively through pair programming. Working closely with technical members of data and digital science teams you will clearly see the impact your work has on pioneering the next generation of AI drug discovery and finding treatments for rare disease patients in need.
We encourage you to provide a covering letter to explain why you think you'd be successful in this role.
How we work with AI coding tools
Our engineers understand and use AI development tools to solve problems and implement systems efficiently while retaining responsibility for system design, implementation and testing of code. We aim to move quickly while building systems we understand deeply and can maintain.
About Healx
Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery.
Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life.
Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills from all walks of life and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply!
Key Responsibilities
Design, build, maintain and improve cloud infrastructure in AWS (and some GCP) to enable AI drug discovery workflows Follow infrastructure as code (IaC) and CI/CD principles to build maintainable infrastructure using Terraform and CircleCI Take advantage of latest AWS tools and apply best practices across our cloud estate to ensure security, availability and observability Work closely with technical users across the company to understand and support their computational needs In collaboration with data scientists write code to build, test and automate production pipelines in tools such as Nextflow, Airflow, MLflow and KNIME Embrace the use of AI coding tools and agents to accelerate delivery while retaining responsibility for system design, implementation and testing of code
You will know you are successful when
You have strong ownership of parts of our cloud infrastructure, familiarity with our Terraform codebase and are shipping regular improvements Infrastructure you've designed and deployed is supporting drug discovery pipelines You have taken ownership of security, cost management and observability in our cloud estate Computational workflows are in production that you've built in Nextflow, Airflow, MLflow or similar in collaboration with digital scientists You have shipped maintainable code to enable lambda functions, automation scripts and internal tools in several of our Python repositories
What we're looking for
We're looking for a mid level engineer with solid hands on experience building cloud infrastructure in a commercial environment who is keen to apply what they already know and learn new skills. You are highly collaborative and driven to solve problems that help others and drive the Healx mission You have hands-on experience (typically around 2+ years) working with a cloud platform, ideally AWS, and are excited about building cloud infrastructure following best practices You are a proponent and practitioner of infrastructure as code principles, ideally with experience in Terraform, and have experience building, maintaining and scaling CI/CD pipelines Solid experience writing maintainable and well tested code following best practices in at least one language (we use mainly Python and some Go) An automation mindset, ideally with experience building production workflows in tools like Airflow
Working at Healx
Healx operates from a modern, accessible office in central Cambridge, within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that supports individual needs and promotes a sustainable work-life balance, and we are open to discussing flexible working arrangements.
We are a hybrid team that works in a highly collaborative model, valuing synchronisation and pair programming. If you are excited about the role but unsure whether your location aligns perfectly, we encourage you to apply and start a conversation. Remote employees are expected to attend workshops in Cambridge every couple of months.
You will join colleagues with decades of combined experience who are passionate about collaboration and supporting each other’s growth. The team is committed to helping you develop your skills and supporting your personal and career development.
Healx provides the guidance and support you need to do your best work and make an impact. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate.
Our values
• Care for Rare – Rare disease patients are at the heart of what we do
• Grow as individuals – We are learners always seeking to enhance our expertise
• Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together
• Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards
What’s on offer
• Financial - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary
• Health and Wellbeing - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme
• Hybrid Working - Flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration
• Family Friendly - Enhanced family leave policies and flexible working practices
• Personal Development and Growth - Personal learning and development budgets, regular personal development conversations and career support
• Community Engagement and Support - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases