Role overview
The Informatics team at Arcturis is seeking a Clinical Data Scientist to join our growing team.
We are looking for a Clinical Data Scientist who is a medical doctor with a background in clinical data. You will need to be familiar with EHR data and be able to assist in handling data as well as designing and implementing informatics-based improvement projects as part of the data platform improvement and maintenance work. A medical degree is required for this work, as you will help map clinical concepts between hospitals and our common data model.
As a member of the Informatics team, you will work closely with Engineering, Machine Learning and Real-World Evidence (RWE) teams, as part of the data platform product group, and will support and collaborate with Data Strategy and Partnerships team on identifying appropriate data sources, design automated data quality tests, review and approve resulting outputs, and support the team in their interactions with our external data partners.
What you'll work on
You will be:
- Working with the engineering and machine learning team on maintaining and improving the data platform which ingests and standardises data.
- Participating in reviewing quality of incoming data, triaging and resolving issues to ensure data meets RWE teams needs.
- Participating in management and improvement of our common data model.
- Participating in managing mapping for laboratory tests, medications etc.
between hospitals using recognised ontologies such as BNF. - Using clinical knowledge to participate in designing and maintaining an automated data quality review process.
- Working with the RWE and Data Strategy and Partnerships teams in the creation and delivery of data specifications for research projects.
- Providing informatics expertise to the Data Strategy and Partnerships team to support data partner interactions.
What we're looking for
Essential Requirements:
- Medical degree (MBChB, MBBS, MD) and additional degree related to clinical data (e.g. masters in data science, epidemiology, informatics).
- Familiarity with data structures and sources within the NHS e.g. cancer data sets, OMOP, SACT, NHS data dictionary.
- At least 1-2 years’ experience working clinically in the NHS.
- Experience working on informatics/data science projects or in epidemiological research using Electronic Health Record (EHR) data.
- Familiarity with medical ontologies including those commonly used in the NHS e.g. ICD-10, OPCS-4, SNOMED etc.
- Experience in exploratory data analysis using SQL, python and/or R.
Desirable Requirements:
- Experience of data modelling/standardisation in SQL
- Training in Cerner/Epic