RWE Programmer

We are currently seeking a RWE Programmer to join a sponsor-dedicated team supporting a global pharmaceutical partner. This is a fully home-based opportunity.

As a RWE Programmer you will serve as a subject matter expert in Real World Data analytics and support the analysis of large healthcare databases to generate high-quality RWE for current and future compounds.

Working closely with RWE Scientists Epidemiologists Statisticians and cross-functional stakeholders you will contribute to study design analytical strategy database evaluation programming and interpretation of study results. This is a highly visible global role that combines advanced programming expertise with strong epidemiological and analytical knowledge.

Summary of Responsibilities:

• Supports Statistical programming activities in Real World Evidence.

• Provides input on study design and analysis plans where necessary.

• Develops validates maintains and documents analysis programs and other study documents.

• Provides input on interpretation of results and reviews publications

• Evaluates the quality of the database.

• Provides technical database expertise to stakeholders

• Ensures that statistical outputs are produced in an efficient manner.

• Reviews the study concept protocol design analysis plans and other study-related documents.

Qualifications (Minimum Required):

• Bachelors degree preferably in mathematics statistics computing life science health science or related subjects.

• Experience and/or education plus relevant work experience equating to a Bachelors degree.

• Fortrea may consider relevant and equivalent experience in lieu of educational requirements.

Experience:

• Typically 3-5 yearsof experience in Real World Evidence Epidemiology Health Outcomes Research or related environments.

• Experience working with large healthcare databases such as Komodo Marketscan CPRD or MMIT)

• Experience in SAS or R programming within the pharmaceutical biotechnology CRO healthcare analytics or related industry.

• Python programming.

Skills & Competencies

• Strong understanding of Real World Evidence epidemiology and observational research methodologies.

• Knowledge of statistical and epidemiological analysis methods; experience with propensity score matching is a plus.

• Experience with Azure Databricks PySpark sparklyr or other cloud-based analytics platforms is advantageous.

• Strong analytical problem-solving and data interpretation skills.

• Ability to communicate effectively with technical and non-technical stakeholders in a global environment.

• Strong organizational skills with the ability to manage multiple priorities and work independently.

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Learn more about our EEO & Accommodations request here.

Required Experience:

IC

Employment Type : Full-Time
Experience: years
Vacancy: 1