OverviewReal-world evidence Data Scientist Data Standardization and Analytics, Real-World Solutions (RWS)IQVIA has adopted OMOP/OHDSI as a systematic and standardized approach to real-world evidence (RWE). Data are converted into the OMOP Common Data Model, making queries and analytics interoperable and shareable. The generation of these queries and tools and their execution can be separated, both physically and logically, creating the opportunity to develop code for purposes of descriptive statistics or hypothesis testing in the absence of direct data access to all data assets targeted. As a consequence, our team can generate insights across multiple datasets in our collaborators network.The Data Standardization & Analytics team\'s mission is to deliver world-class and globally scalable projects through:
Rapid analytics - to assess study feasibility and data availability
Characterization of patient populations: demographics, distribution of comorbidities, duration between diagnosis and intervention, treatment patterns, etc.
Protocol-driven analytics - estimating the association between clinical interventions and outcomes (benefits and adverse events)
Predictive models for determining populations (phenotypes) or outcomes (patient-level predictions)
Network studies - coordinating the execution of RWE analytics across multiple external data partner sites
Global leadership across technical and data architecture, data manipulation, analytics script and report generation; delivering solutions to clients across life-science, government, payer or provider organizations; curating the largest collection of de-identified Real-World Data in the world in the OMOP CDM from different patient care settings in multiple countries
In this role you can expect to;
Design & develop analytical packages in R & SQL to extract real-world evidence from OMOP healthcare databases
Translate detailed research specifications into documented instructions, debug routine queries and prepare necessary documentation
Contribute to client consultation on study ideation, study design and results interpretation
Support protocol & report writing
Execute retrospective analytical packages as part of OHDSI and other OMOP-based network initiatives
Work collaboratively with OMOP data scientists, plus other team members across DSAE
Support the Senior Data Scientists and other technical experts with building the team\'s subject matter expertise regarding the OMOP common data model
Collaborate with members of the OHDSI community, participate in the OHDSI community through study projects such as study-a-thons, code development and knowledge sharing
Support customer-focused training sessions and tutorials where necessary
Qualifications
Essential (candidate must have these)
R programming (minimum 18 months)
Analytical / quantitative research background (preference for big data)
Strong communication skills
Very nice to have
Pharmaco-epidemiology or RWE background (or relevant clinical or life science experience). Masters or PhD in a relevant quantitative field
OMOP experience
SQL programming
Consulting experience
AI / ML experience
Shiny dashboard experience
Location and travel
Minimal travel expected to other IQVIA offices (London, East Coast US) or to attend conferences and workshops as required
Home-based
The Team
IQVIA Data Standardization and Analytics is a fast-growing and highly successful business, focusing on delivering tangible results to clients across the healthcare value chain internationally. We help clients leverage patient-level healthcare datasets of varying degree of complexity and richness to understand healthcare treatment patterns and outcomes to make more informed decisions and deliver results. Our approach enables the transformation of the industry utilizing Real-World Evidence (RWE) to provide deeper insight into market dynamics, therapy area changes, outcomes, unmet needs, treatment economics and other scientific and market questions. We are collaborative, intellectually curious, entrepreneurial, and constantly looking for opportunities to harness the value of RWE in a constantly evolving industry.
Why join?
Those who join us become part of a recognised global leader still willing to challenge the status quo to improve patient care. In RWS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the healthcare industry.
You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.
This role is not eligible for Visa sponsorship.
EEO / Diversity
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. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.
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