Data Scientist - R (R1044206) in Brighton, UK at IQVIA™

Date Posted: 11/9/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Brighton, UK
  • Experience:
    Not Specified
  • Date Posted:
    11/9/2018
  • Job ID:
    R1044206

Job Description

Join us on our exciting journey!

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

IQVIA™Real-World & Analytics Solutions (RWAS) is a fast-growing and highly successful business, focusing on delivering tangible results to clients across healthcare value chain internationally. RWAS teams help clients’ lever 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.

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 RWAS Remote Study team's mission it 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)

This 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 18 countries worldwide, making it the forefront of “Big Data” in healthcare.

Overview of the Role:

The candidate would join a high profile and talented team, and act as data scientist for generating studies for various IQVIA RWAS customers. The activities require skills in:

  • Ad-hoc script writing in R and SQL, potentially Python and Spark
  • R package generation,
  • R visualization
  • Development and implementation of solutions for
    • retrospective research studies
    • statistical methods
    • NLP and text mining application
  • Scalable data manipulation: Extraction and transformation
  • SQL query generation and management in various flavors: Oracle, SQL Server, Redshift, Hadoop

The candidate would work directly with the RWAS Remote Study team's mission it 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)

This 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 18 countries worldwide, making it the forefront of “Big Data” in healthcare.

Candidate Requirements:

  • Masters or higher education with at least three years of experience in writing analyzing healthcare data
  • Experience in manipulating and querying data at scale
  • Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling.
  • Software engineering experience including agile methods, programming skills in languages such as Python, R, C++, Spark, potentially Scala, Matlab, and data visualization
  • 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 on or off-shore
  • Experience of a fast-paced, consultancy environment.

Why Join?

Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWAS, 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.

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.

Whatever your career goals, we are here to ensure you get there!

We invite you to join IQVIA™.

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.



Job ID: R1044206

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