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Director, OMOP Remote Studies, China (R1011656) in Shanghai, China at IQVIA™

Date Posted: 12/14/2018

Job Snapshot

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.

Director, OMOP Remote Studies, China

Real-World & Analytics Solutions RWAS Technology

IQVIA has adopted the Observational Medical Outcomes Partnership (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. Consequently, the generation of insights becomes an industrialized process, including the characterization of data and the generation of insights.

What to expect:

You will join a high profile and talented team, and act as Director, OMOP Remote Studies for generating studies for various IQVIA RWAS customers. Being flexible and adaptable in a client focused, results-driven environment will be the best grounding for success in this role.

A typical day may involve;

  • Travel to customer and non-customer sites across China
  • Being the IQVIA representative in the Chinese OHDSI Chapter, which includes relationship management, facilitation of scientific research and Open Community support
  • Building relationship with data vendors, clients, and OHDSI community members
  • Developing and implement business strategies for expanding the use of OMOP and OHDSI in China
  • Collaborate with the China local business unit and other Asian Pacific local business units to adapt the use of OMOP in the local countries
  • Facilitate the completion of remote studies
  • Responsible for budget and resource planning of Asian Pacific resources within the OMOP Factory




Our ideal candidate: Essential experience

  • Education: MD or Epidemiologist
  • Highly experienced in the Chinese Healthcare system, including clinical and administrative side of local hospital and outpatient systems
  • Experienced working abroad in academic or commercial leadership position
  • Possesses people leadership experience
  • Proven track record in observational research, medical coding, epidemiological design, large scale analytics technology, preferably OMOP/OHDSI
  • 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
  • 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.

The team

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.

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: R1011656