Platform Engineer, Healx
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Drug discovery for rare diseases
Be an early applicant
Drug discovery for rare diseases
101-200 employees
Be an early applicant
+ Share options
101-200 employees
Company mission
Healx's mission is to pioneer the next generation of drug discovery in order to bring novel, effective treatments to rare disease patients around the world.
Role
Who you are
- 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!
- 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
What the job involves
- 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
- 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
- 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
Our take
There are 7,000 known rare diseases around the world, and only 5% of them have an approved treatment. Healx solves this problem by leveraging AI to develop and identify drug treatments for rare conditions.
Healx's platform, Healnet, uses machine learning to find connections between rare diseases and existing drugs. Repurposing drugs is more time and cost effective than developing new treatments, and therefore has broad appeal within the pharma community.
At the moment, the company is focused on rare conditions such as Fragile X syndrome, but they are looking to rapidly expand their scope to other diseases.
Freddie
Company Specialist at Welcome to the Jungle
Insights
58% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$47m
SERIES C
Nov 2023
$22m
LATE VC
Total funding: $137m
Company benefits
- Share options
- Remote and flexible working
- Enhanced parental leave
- Quarterly socials
- Private medical insurance
- Life insurance
- Generous pension contributions
Company HQ
Cambridge, UK
Leadership
Dr Tim Guilliams
(CEO)Previously worked as a Junior Associate Fellow at the Centre for Science and Policy. Is Founding Director and Trustee of Cambridge Rare Disease Network, and an Entrepreneurship Fellow at Cambridge Judge Business School.
David Brown
(Chairman)Previously served as Managing Director of Alchemy Biomedical Consulting. Is Chair of the Board at ProFactor Pharma and Babraham Institute Enterprise.
Salary benchmarks
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