Data Scientist, OMOP

This role requires global leadership across technical and data architecture, data manipulation, analytics script and report generation, software development and data visualization. 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;

• Work on the development and implementation of solutions for retrospective research studies, statistical methods, NLP and text mining applications.
• Lead the building of a dedicated, enthusiastic team of data scientists and analysts.
• Collaborate closely with both developers and data scientists, plus other team members such as Sales Professionals and IQVIA Data Teams to manage the development cycle from ‘thought to delivery.’
• Prepare feasibility studies to evaluate requirements for new and revised projects.
• Translate detailed research specifications into documented instructions, debugs routine queries and prepares necessary documentation.
• Complete documentation and procedures for installation and maintenance of cohorts.
• Using current programming language and technologies, write code, complete programming, and perform testing and debugging of applications and queries.
• Ad-hoc script writing in R and SQL Req.

Our ideal candidate will have;

• Bachelor's Degree Computer Science or related discipline or at least five years’ experience of analysing healthcare data Req
• Experience in manipulating and querying data at scale
• Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling.
• Exposure to epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization,
• Good knowledge of healthcare / life science issues involving Real-World Evidence or experience with patient-level, longitudinal data.
• A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently.
• Flexible and adaptable in a client focused, results driven environment.
• Ability to manage team members effectively across multiple time-zones.
• Experience of a fast-paced, consultancy environment.

Location and travel

• Role based in IQVIA’s Brighton office but with flexibility to work from home.
• Minimal travel expected to customer and non-customer sites in North America and Europe, other IQVIA offices, or to attend conferences.

About the team

IQVIA has adopted OMOP/OHDSI as a systematic and standardized approach to 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 a direct data access to all data assets being targeted. As a consequence, the generation of insights becomes an industrialized process, including the characterization of data and the generation of insights.

The RWS OMOP Productised Analytics team's mission is to deliver world class and globally scalable studies:

• Simple studies, executed as rapid queries, to assess study feasibility and availability of data
• Medium complex studies, characterizing the composition of a population: Their demographic structure, the distribution of their comorbidities, the duration between diagnosis and intervention, etc.
• Complex studies, 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).

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.

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.

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.