Senior Data Scientist, IQVIA

• You will bring technical acumen and a pragmatic approached to implementation, working closely with multiple IQVIA technology teams and external vendors to drive common solution development and ensure on-time, on budget deployment
• Sound knowledge of the OMOP data model, its conventions and concept hierarchy, as well as able to use tools and technologies to perform the data mapping, such as SQL, R, Python
• Multi-centre clinical informatic innovation experience designing and implementing data schemas, using common data models, in either an academic or commercial context, such as OMOP implementations
• Excellent delivery skills with proven track record of delivering large scale change on time on to budget
• Ability to identify and solve problems quickly and selective as well as troubleshoot technical issues and develop innovative solutions
• Interoperability is key and therefore knowledge of commonly used terminologies and standards in health data (e.g., ICD-10, SNOMED, FHIR)
• Self-motivated, able to work independently
• Executing retrospective analytical packages as part of OMOP projects as deemed necessary
• Project management and execution
• Extensive knowledge of mapping hospital electronic health records to common data models for research, either from academia or within IT vendor or from life science RWE
• PhD or equivalent with several years’ experience of analysing healthcare data
• Strong script writing in R, SQL, and Python
• Experience in manipulating and querying health data at scale
• Flexible and adaptable in a client focused, results driven environment
• Ability to collaborate with team members effectively across multiple time-zones
• Experience of a fast-paced, consultancy environment
• Willingness to travel to customer and non-customer sites across Europe
• Hands on experience with manipulating data and identifying data trends
• Strong analytical, problem solving = planning skills, critical thinking, ambiguity tolerance, creativity, and strong emotional intelligence
• Experience working in continuous process improvement

Desirable

• IQVIA is seeking a Senior Data Scientist
• The successful candidate will work with the DigiONE teams to develop and exploit the infrastructure needed to deliver sophisticated analytics
• This role involves ensuring that the right data is research-ready at the right time, working closely with the proof-of-concept study delivery team
• This role will be responsible for developing and maintaining tools and technology capabilities for data access and analysis:
• Works with project managers to align local platforms to business priorities ensuring strong customer relationship are maintained
• Collaborates with business representatives and information services staff, conducting high-level investigations on requirements and specification, marrying up technical limitations with operational realities
• Build strong, mutually advantageous relationships with research partner organisations to maximise the opportunities for the development of the infrastructure and governance to support research and innovation
• Implement proactive quality management plans across multiple work streams. Track service performance to manage issue escalation or implement remedial actions
• As we plan for future developments, we need to accommodate and prioritise key extensions to our minimal dataset model
• Ability to propose a data mapping strategy that aligns key elements in national registries with the OMOP data model, considering the data quality, completeness, granularity, and compatibility issues
• Ability to document and communicate the data mapping process and results, such as data mapping specifications, to lead possible cancer OMOP extensions in new therapeutic areas as required (from radiology to surgery, including complex chemotherapy regimens, biomarkers, etc.)
• Managing implementation and deployment to get centres to a common model on time and to budget. This role will be the “hands on of the project” and will need the right stature. 60%
• Externally: with the project teams in the cancer centres
• Internally: with multiple IQVIA technology teams testing integrated solutions in some of these deployments. Primary DEV and deployment will be managed by other teams, but rapid problem solving will be critical for a successful implementation
• Consolidate the current corpora of registry specific data models to the OMOP CDM. This role will provide input into the further development of MEDOC. 10%
• Proactive, pragmatic complex problem solving. Inevitably, unexpected problems will turn up. These need to be proactively solved and agreed with multiple stakeholders to get to a working prototype that can deliver the first studies. 30%