Salary: 100 000 + EQUITY
Industry: B2B SaaS HealthTech
Contract: full time
LOCATION: Elephant & Castle
Information on the company
Independent physician practices in the USA provide exceptional care, yet they operate within a fragmented healthcare system marked by opaque pricing, administrative complexity, and limited leverage against large insurers. Our client is building the infrastructure for independent medicine in the United States, creating the data, software, and operational backbone that enables these practices to succeed on their own terms.
At the heart of this work is a large-scale healthcare data platform that brings together diverse sources into a single unified system. These sources include public datasets, practice operations data, regulatory information, pricing signals, and quality metrics. Built on top of this foundation is a direct contracting marketplace where:
independent physician practices can set transparent prices for procedures
employers can compare providers based on both cost and quality
contracts and transactions happen directly between employers and providers
The mission is straightforward: reduce costs for employers while improving reimbursement, independence, and long-term sustainability for physician practices. They believe in clear communication, practical systems, thoughtful design, and long-term thinking. Their tone is warm, grounded, and confident never corporate, and never clinical.
ABOUT THE ROLE…
THIS IS NOT FOR YOU IF…
You want to focus purely on AI model research rather than building production systems
You prefer working on isolated technical problems rather than integrating complex real world systems
You are uncomfortable working with messy real world datasets that require structuring and normalization
You want highly rigid specifications rather than working iteratively with product, operations, and leadership
You avoid industries where compliance, auditability, and real operational impact are critical
WHAT YOU’LL DO
Build backend systems that ingest, structure, and manage large healthcare datasets from many sources
Design and maintain data pipelines that normalize and unify complex healthcare data
Develop APIs and services that power internal tools and marketplace infrastructure
Build systems that generate pricing intelligence and provider insights from large datasets
Help design and implement quality scoring and benchmarking frameworks for independent practices
Contribute to backend systems supporting employer and provider transactions on the marketplace
Develop AI assisted tools that help structure data, automate workflows, and generate operational insights
Work closely with product, operations, and leadership to translate real world healthcare problems into software systems
Design systems with reliability, transparency, and auditability from the start
Take ownership of backend architecture that will support the long term growth of the platform
The ideal candidate…
Has 3 or more years of experience in software engineering, ideally with a backend or data infrastructure focus
Is comfortable working with large structured and unstructured datasets
Has experience building data pipelines, APIs, and integration layers
Brings strong programming skills in Python, TypeScript, or similar languages
Has experience working with LLMs or AI orchestration frameworks
Understands how to build systems with reliability, transparency, and auditability
Can collaborate closely with non technical teams to translate operational workflows into software systems
Thrives in early stage environments where ownership, speed, and clarity are essential
Why work here?
The opportunity to help build one of the most useful healthcare data platforms supporting independent physician practices
We love building together and this role would be based in London face-to-face with the team
Ownership of core infrastructure that powers pricing intelligence and marketplace transactions
A thoughtful, ambitious team that values pragmatism, clarity, and long term thinking
Backed by leading USA VCs
X 2 Offsites per year in sunny climates
ADDITIONAL NOTES
You will be joining a team of engineers who are distributed across, London, Montréal, Ottawa, and Vancouver.
The team currently is growing as the company expands its data platform and marketplace capabilities.
Occasional travel to the United States or Canada may occur for team collaboration or product initiatives.
INTERVIEW PROCESS
Chat with TableCrowd Talent team (video 30 mins)
Video submission of a short loom video (max 10 mins) OR written example of systems you have built such as
built a data pipeline
unified multiple datasets into a usable system
automated a complex operational workflow
Office interview with the team, including video interview with Canadian based engineers
Final round video interview with Co Founder