Senior Data Scientist
Data Science, Analytics, and Technology Solutions (DATS)
Brighton, UK
IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully embedded within the environment of a leading pharmaceutical client. This Data Scientist role sits within our Data Science, Analytics, and Technology Solutions (DATS) team and will play a key role in designing, implementing, and maintaining healthcare data solutions using the OHDSI and DARWIN frameworks.
Essential Functions
- Collaborate with researchers and data scientists to understand project requirements and translate them into OHDSI/DARWIN-compatible solutions
- Work with databases, ensuring data integrity and optimization for OHDSI-related queries and analyses
- Perform data analyses in OHDSI-related tools like ATLAS and Prometheus or using R-Packages
- Customize and extend OHDSI tools and applications to meet specific project needs
- Collaborate with cross-functional teams to troubleshoot and resolve technical issues related to OHDSI implementations
- Stay informed about OHDSI community updates, best practices, and emerging trends in observational health data research
- Support the growth and maintenance of the OHDSI community on the client side
Requirements
- Proven experience with the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and OHDSI related tools, such as ATLAS, ATHENA, and ACHILLES
- Proven experience in programming languages commonly used in the OHDSI community, such as SQL, R, and Python
- Proven experience in data management, governance, engineering, and strategy
- Good understanding of observational study design and epidemiological concepts with an emphasis on RWE data
- Familiarity with Machine Learning and Statistical concepts
- A good understanding of US health payer dynamics would be advantageous
- Solid understanding of clinical terminology such as SNOMED, ICD9/10, CPT, HCPCS, READ and healthcare data standards
- Strong problem‑solving skills and the ability to work collaboratively in a team environment
- Excellent communication skills, with the ability to convey technical concepts to both technical and non‑technical stakeholders
- Experience developing and maintaining documentation for RWE studies and insight generation
- Experience with data quality assessment and data validation techniques for fit for purpose
Why Join?
Those who join IQVIA become part of a recognized global leader committed to improving patient care by leveraging cutting‑edge technology, large data sets, and advanced analytics tools.
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.
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