Data Wrangler

Interested in working with large scale data sets and impacting the future of Genomic Healthcare?

We are currently recruiting for a Data Wrangler to join us here at Genomics England!

In this role, you will be focusing on performance and movement of large data volumes using appropriate tooling. You will also be responsible for the generation of key statistics to create new derived datasets for diverse audiences.

You will be part of a multi-discipline team delivering a step change in how we work. You will also ensure adherence to best practice and contribute to knowledge sharing across the Data Chapter.

This role is a 12 month Fixed Term Contract.

Key responsibilities

• Design and build data solutions that deliver the business needs and requirements across clinical and research domains
• Extract transform and load data to support research and clinical practices
• Generation and derivation of statistics and data visualisations to support data driven decision making
• Codifying repeatable data processes, increasing productivity and efficiencies and supporting the standards for data usage throughout Genomics England
• Ensure data quality is at the centre of data delivery, using processes including automated routines and self-healing/monitoring
• Implementation and adherence to software development best practices
• Developing testing routines and datasets to ensure robust and consistent product delivery
• Developing healthcare data models and associated artifacts
• Managing associated data storage and management solutions ensuring the optimum architecture exists to support data solutions
• Working with Cloud First technologies to leverage the latest data healthcare solutions

Example tooling

• Cloud: AWS
• ETL: AWS Glue, Trifacta, KNIME
• Metadata & master data management: White Rabbit
• Data models: XML, JSON, HL7 FHIR, OMOP
• Databases: AWS S3 & Athena, AWS DynamoDB, AWS RDS, AWS Aurora (Postgres)
• Continuous deployment: Jenkins, AWS Lambda, Docker, Kubernetes
• Programming languages: Python, R, SQL
• Visualisation software: Tableau
• Machine learning: Regression, decision trees, SVM, Bayes, NLP
• Practices: DMBOK2, Continuous Integration/Continuous Deployment (CI/CD)

Requirements

Degree or equivalent experience.