Data Scientist

Overview Real-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 sharable. In addition, the generation of these queries and tools and its execution can be separated, both physically as well as 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 being 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 availability of data Characterization of patient populations: their demographics, the distribution of their comorbidities, the duration between diagnosis and intervention, treatment patterns etc. Protocol-driven analytics - estimating the association between clinical interventions and their outcomes – benefits and adverse events. Predictive models for determination of populations (phenotypes) or outcomes (patient-level predictions). Network studies – coordinating the execution of RWE analytics across multiple external data partner sites. This requires global leadership across technical and data architecture, data manipulation, analytics script and report generation. The solutions are delivered to a variety of clients across life-science, government, payer or provider organizations. The team also curates the largest collection de-identified Real-World Data in the world in OMOP Common Data Model, from different patient care settings in multiple countries worldwide, making it the forefront of “Big Data” in healthcare. 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 prepares necessary documentation Contribute to client consultation on study ideation, study design and results interpretation. Support protocol & report writing. Executing 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 with regards to 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 Our ideal candidate will have; 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 (successful candidate will likely have several or all of these skills). 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 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. 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. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at iqvia.jobs #J-18808-Ljbffr