Career pathway
Technical Skills & Data Engineering
Write the code health data research runs on.
From Python foundations to distributed computing - the engineering pathway for people who build the tools other pathways depend on.
Register freeAround 20 hours, at your own pace
About this pathway
Behind every dataset, dashboard and discovery there is engineering: pipelines that move and clean data, software that makes methods reusable, infrastructure that lets analysis scale beyond one machine. Health data adds its own constraints - governance, privacy, reproducibility - which is what makes the engineering interesting.
The pathway builds in sequence. Python for health research gives you the programming foundation in context. Research Software Engineering turns scripts into software: version control, testing, packaging and the habits that make research reproducible. Health Information Engineering applies professional software practice - Agile, Scrum, unit testing - to health systems, and Distributed Computing takes you into Spark, Hadoop and Kafka for data that outgrows a laptop. A closing session shows national-scale EHR harmonisation in practice.
The roles this leads to - research software engineer, health data engineer, data-platform engineer, RAP lead - exist in universities, national infrastructure programmes, federated-computing vendors and digital-health companies with real engineering depth. It is also the most common route into health data for software engineers arriving from other industries.
What you'll be able to do
- Write Python confidently in a health-research context
- Apply software engineering practice - version control, testing, packaging - to research code
- Work in Agile teams building health information systems
- Choose and use distributed tools (Spark, Hadoop, Kafka) when data outgrows one machine
- Build pipelines that are reproducible and governable by design
What's in this pathway
5 steps
Who this pathway is for
Researchers who have outgrown their scripts; analysts who want to build rather than only analyse; software engineers from other sectors moving into health. Comfort with basic programming helps from step two onward; step one teaches the Python itself.
Ready to work towards this career?
From Python foundations to distributed computing - the engineering pathway for people who build the tools other pathways depend on.
