Your role will be to work as a member of the engineering team, leading the development and architecture of new data services and products around clinical insights. Initially focusing on extracting insights from the MedShr platform, this role will involve architecting data flows, developing analyses using medical NLP and other relevant technologies, and helping to implement reports and dashboards using these data.

Our backend tech stack currently consists of:

Google Cloud Platform and GKE
Languages: PHP, Python and Typescript
Primary database: MySQL
Reporting and analysis: BigQuery

We are absolutely open to using other relevant technologies, and would expect the candidate to make recommendations as appropriate.

Responsibilities:

Plan, implement, and maintain a robust data architecture.
Develop, test, and maintain high quality code for data analysis and reporting.
Contribute expertise to the design and development of our data products.
Understand the privacy and security requirements for different types of data, and ensure we design and build accordingly.

Skills and Requirements:

Self-starter with an ability to work independently and as part of a team.
Experience building and maintaining robust data platforms.
Experience working with Natural Language Processing, with up to date knowledge of the NLP software ecosystem.
Deep understanding of SQL.
Strong statistical, analytical, and reporting skills.
Experience programming in at least one of Python, PHP, Typescript or Javascript.

Desirable:

Experience using Google Cloud Platform
Experience using “serverless” technologies
Experience in medical NLP
Experience with Medical / Healthcare data
Knowledge of multiple programming languages

Perks / Benefits:

Competitive salary
The chance to solve difficult problems
Ownership of the solutions to those problems
Share options and performance bonus

Location:

Our tech team is based in the UK with an office west London. We’ve always had options for remote working and over the last year the whole product team has been working from home.

Timeline:

Recommend applications by Sunday 17th January
First interviews Wednesday 20th January

Lead Data Engineer