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Statistical Programmer (R1017139) in Lisboa, Portugal at IQVIA™

Date Posted: 12/11/2018

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Job Description

SAS Statistical Programmer, Healthcare Oncology


IQVIA Real World Insights (RWI)

IQVIA is leading the development of a new business service, the foundation for which is a pan-European infrastructure to collect, aggregate and report on healthcare and pharmaceutical product use at a patient level. IQVIA will be working with healthcare providers on this new RWI initiative in order to develop access to, codify, combine and subsequently structure for analysis patient-level data sources across multiple healthcare providers in several European countries.

Role Description

This role will offer you a unique opportunity to work on a novel, large, clinically rich data set in oncology working as a key member of a small, dedicated team. This opportunity arises as a consequence of a partnership between IQVIA and the healthcare data owners: the context for your work will be the cross-over between the IQVIA RWI team, the oncology centre and the applications of RWD for life sciences clients.

Concretely, this role requires capabilities in the preparation and analysis of anonymised patient-level data, according to agreed protocols and statistical analysis plans. The audience for these analyses will be varied, including clinical teams, service managers, academics and life-sciences customers.

The successful candidate will have excellent programming skills (e.g. SQL, R, Stata & SAS) in extracting and preparing bespoke study data from clinical data, creating and documenting datasets for analysis. You will be encouraged to play a role in organising and streamlining the data extraction process.

The purpose of this role is to facilitate the study of a broad set of interesting analytical and statistical questions that are directly related to care delivery and patient outcomes.  Given the application to a clinical services setting, this role will provide exposure to additional aspects of data set management and enhancements, including both exploratory approaches to insight generation and the design and development of management reports and dashboards.

Principal Accountabilities

As SAS Statistical Programmer, Healthcare Oncology, you will have the opportunity to contribute to all stages of retrospective database studies, including:

  • Study design:
    • Helping to choose appropriate approaches, data management, analytical and statistical design to meet study objectives. This may in the longer term also include interventional studies and direct collection of patient reported data
    • Develop approaches to analyse a novel dataset
    • Contribute to writing of study proposals, including statistical analysis sections
    • Write SAPs, specify for table shells and figures as required
  • Data preparation and management
    • Extract data from databases (SQL), write SAS code to prepare analysis of datasets according to study protocol or SAP
  • Project documentation and procedures
    • Document processes for data extraction, organisation and storage
    • Develop procedures for efficient data extraction and re-use of code
    • Develop data dictionaries etc. as required
  • Reporting
    • Provide assistance in the write up and presentation of the results appropriate for the intended audience

Qualifications, Skills and Experience

Candidates interested in joining the IQVIA RWI as a SAS Statistical Programmer, Healthcare Oncology will have:


  • Prior experience and comfort with working with large-scale data relating to healthcare
  • Strong MS SQL programming experience
  • Strong SAS programming skills
  • Ability to independently undertake data quality check and prepare cohorts using real-world databases
  • Has experience of creating tables and figures in SAS
  • Fluency in English (spoken and written)
  • A commitment to work collaboratively & effectively with others in and across teams with different expertise
  • Ability to effectively manage multiple tasks under tight timelines

Desirable Skills:

  • Familiarity with working with large real-world cancer healthcare data
  • MSc (or equivalent) in Medical Statistics, Bio-informatics or a related field
  • Experience working with prospective and/or retrospective oncology studies, including database analyses
  • Experience working in close collaboration with clinicians
  • Experience and knowledge of current issues in the pharmaceutical industry
  • Strong interpersonal and communication skills




Competitive and commensurate with the scope of the role.

Job ID: R1017139

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