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Data Scientist - R (R1075864) in Warsaw, PL at IQVIA™

Date Posted: 6/6/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Warsaw, PL
  • Date Posted:
    6/6/2019
  • Job ID:
    R1075864

Job Description

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

Data Scientist, OMOP Studies – Warsaw, Poland

Real-World & Analytics Solutions (RWAS Technology)

Job Description

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.

What to expect:

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.

Our ideal candidate will have:

  • 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

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.

Join Us

Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.

Forge a career with greater purpose, make an impact, and never stop learning.



Job ID: R1075864

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