Statistician / Oncology Real World Evidence

3 months ago

London, United Kingdom Novasyte Full time

Statistician / Oncology Real World Evidence / Federated analytics

Location: UK, Portugal, Germany, or Netherlands

Work Model: Home/ Hybrid or Office based.

IQVIA has worked with academic partners across Europe to incubate a public-private partnership for next-generation real world evidence and pragmatic trials in precision oncology: DIGICORE, the Digital Institute for Cancer Outcome Research

). This brings together 39 research intensive cancer centres from 17 countries. The parties in DIGICORE recognise the need for digital interoperability and have developed a core dataset transformed to a common data model for faster precision oncology research called the Minimal Essential Description of Cancer (MEDOC).

The Role

This role will offer you a unique opportunity to work with clinically rich data in oncology working as a key member of a small, dedicated team. You will become the federated analysis expert within the IQVIA team, supported by statisticians in adjacent IQVIA teams and federated analysis experts from the DIGICORE hospitals.

This role requires capabilities in the preparation and analysis of retrospective patient-level data according to agreed protocols and statistical analysis plans. You will be writing programming scripts to derive variables needed for the analysis, conducting data quality checks, and running the analysis to populate table shells. You will transform established analysis methods into a federated setting both theoretically and practically. We know the hospitals well and work closely with their clinical, data science and project management teams to test scripts and generate outputs.

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. The studies will be a mixture of academic-led and commercially sponsored. Therefore, the audience for these analyses will be varied, including clinical teams, academics, and life-sciences customers.

**Responsibilities**:
As a Statistician you will have the opportunity to contribute to all stages of real-world studies, and you will be the person primarily responsible for some steps, including:

- Contribute to the study design including development of research questions
- Ownership of deciding statistical methods for study delivery
- Contribute to selection of data concepts required and data management approach
- Ownership of writing the statistical analysis sections of study protocols
- Ownership of writing the Statistical Analysis Plan (SAP) and developing table shells, including facilitating reviews with clinicians and sponsors
- Ownership of developing data quality checks relevant to the study objectives
- Ownership of writing code to conduct the analysis according to study protocol and SAP
- Contribute to project documentation and team standard operating procedures
- Contribute to developing procedures for efficient re-use of code
- Ownership of delivering final results and figures
- Contribute to the write up and presentation of the results appropriate for the intended audience
- _ Some travel, within Europ,e will be required however travel will not be frequent._

Qualifications, Skills and Experience

Desired skills - Essential
- Strong programming experience: R and/or Python, plus SQL is preferable
- Prior experience and comfort working with large healthcare datasets
- MSc (or equivalent) in a STEM field such as Medical Statistics, Bioinformatics, Physics or Mathematics
- Experience with data harmonisation (i.e., worked in a team that transforms disparate data into a common data model for multi-centre analyses)
- Ability to independently develop programming scripts according to a protocol and SAP you are familiar with
- Experience creating results and visualization of data
- A commitment to work collaboratively and effectively with others in and across teams with different expertise
- Ability to effectively manage multiple tasks under pre-agreed timelines
- Fluency in English (spoken and written)

Desired skills - Nice to have
- Experience working with routine care (‘real-world’) oncology datasets
- Experience with or an understanding of federated learning (see Vantage6 and the Personal Health Train Dutch initiatives)
- Experience with or an understanding of the Observational Medical Outcomes Partnership (OMOP) common data model
- Experience with Observational Health Data Sciences and Informatics (OHDSI) tools
- Experience working in close collaboration with clinicians and research teams at hospitals
- Knowledge of current trends in the pharmaceutical industry related to oncology
- Strong interpersonal and communication skills

JOIN US

You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately to improve outcomes for patients.

Whatever your career goals, we’re here to ensure you get there

IQVIA is a leading global provider of advanced analyt

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