Analytics Technical Specialist

The Christie has the ambition to become a leader in real world outcomes. Our ambition is to make greater use of real world patient data collected routinely as part of standard clinical care to make incremental changes in improving cancer patient outcomes, services and experience. In the last decade, the Christie has established a framework, to collect high quality real world clinical, treatment and more recently patient reported outcomes data not only via clinical trials but for patients receiving standard care. More recently, a new 5-year Clinical Outcomes Data Strategy has been approved setting out the Trust plan to deliver on the vision “to improve clinical outcomes through a data-enhanced comprehensive cancer centre where real-world data drives improvement in cancer care”.
This is a new and exciting role created to expand the data access functionality of the Christie Clinical Outcomes and Data Unit (CODU) to support real world data research and outcomes initiatives. We are looking for someone to join our team of analysts, data scientists and statisticians, who will share in our vision to improve clinical outcomes through data. Like us you will be forward thinking, willing to explore, learn and implement new approaches, and enjoy finding innovative solutions even to long standing problems. Like us, you will come ready to meet new challenges, to learn new skills, and to widen your horizons at any opportunity.
As our technical specialist you will work closely with our Data Engineering colleagues to lead on the establishment of the inaugural CODU research database, defining data flows, creating SQL queries to link complex datasets, setting up data quality evaluation processes and reports and producing meta data documents for technical and layman audiences. You will ensure anonymization methodologies are appropriately applied and produce data extracts according to research study specifications. You will also support the establishment of our new CODU secure data rooms and a secure RWD environment, incorporating data science techniques for the development of curated datasets and synthetic data.
In addition, as an senior member of CODU Analytics team you will help drive the delivery of our Analytics function, supporting our requests service, providing expertise in technical and complex data wrangling or performance tuning of data processing code, advising on best practice technical solutions, investigating and promoting new and innovative data access tools and making recommendations on service and policy change. You will also have considerable opportunity to contribute to our data science projects where you have relevant specialist knowledge and experience.
Christie Digital Services are now predominantly hybrid working and we are very open to and actively encourage flexible working. This is seen as one of the many benefits of working as part of the Clinical Outcomes and Data Unit. On site working is available as much as you want via a hot desk booking system. As a team, we plan days when we all come into the office together to met up, share ideas and take the opportunity to trouble shoot, and learn from each other. We are all readily contactable via Teams both as formal meetings and informal chats and coffee meet ups.
We are a customer facing service working with all members of the organisation, Executives, consultants, admin staff and service users. We pride ourselves on our level of service, our quality of product and our ability to communicate and translate our data into intelligence. We work closely with our customers to ensure we are delivering what they want, we are able to communicate the most advanced analytics and statistics to wide ranging audiences and we try to make our products as interesting and informative as possible. We are forward thinking, we like to try new approaches, and to find innovative solutions even to long standing problems. We like a challenge, to learn new skills and to widen our horizons at any opportunity.
Supporting Development of Research Databases
1) Work with digital and clinical colleagues to establish a research database, bringing together data from different clinical systems based on agreed specifications.
2) Identify data sources and write queries to populate the database with the required data. Consulting with SMEs where necessary.
3) Work with digital colleagues and clinical to establish a pseudo anonymisation process to anonymise data within the research database. This will include fully anonymising imaging files, and other sensitive data.
4) Develop data dictionaries and meta data to support database use (for sharing with data users).
5) Be the primary contact for any queries relating to the data. Coordinating and delivering extracts and responding to any queries.
6) Create data quality reports for extracted dataset to be validated by second analyst, liaising with data access committee on any issues or concerns.
7) Feedback on data quality issues and support projects