Data Scientist

IQVIA, Inc.; City Of London; Remote; GBP 40,000 - 70,000; Full time

Job summary

A global leader in real-world solutions is seeking a Real-world evidence Data Scientist to develop analytical packages in R and SQL, supporting real-world evidence analytics. The ideal candidate will have strong R programming and analytical skills, with a focus on big data. This position allows for minimal travel and is primarily home-based, providing opportunities for career growth in a collaborative environment.

Benefits

Access to cutting-edge technology

Large datasets and analytics tools

Career development opportunities

Qualifications

• Minimum 18 months of R programming experience.
• Preference for big data analytical background.
• Pharmaco-epidemiology or RWE experience is a plus.

Responsibilities

• Design analytical packages in R & SQL.
• Translate research specifications into instructions.
• Contribute to study ideation and results interpretation.

Skills

R programming

Analytical / quantitative research

Strong communication skills

Education

Masters or PhD in a relevant quantitative field

Tools

SQL programming

Job description

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 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.