Remote RWE Programmer - Health Data & Outcomes

Fortrea; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Fortrea is seeking a Real World Evidence (RWE) Programmer to join a sponsor-dedicated team supporting a global pharmaceutical partner. This is a fully home-based opportunity.

The role involves serving as a subject matter expert in RWE analytics, analyzing large healthcare databases, and collaborating with RWE Scientists, Epidemiologists, and statisticians to design studies, plan analyses, and interpret results. Strong programming and epidemiology knowledge are required.

Qualifications

• Bachelor's degree in mathematics, statistics, computing, life science, health science, or related subjects.
• Fortrea may consider relevant experience in lieu of educational requirements.

Responsibilities

• Supports Statistical programming activities in Real World Evidence.
• Provides input on study design and analysis plans as 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 statistical outputs are produced efficiently.
• Reviews study concept, protocol design, analysis plans and other study-related documents.

Skills

Real World Evidence

Epidemiology

Observational research

Statistical analysis

Propensity score matching

Azure Databricks

PySpark

sparklyr

Cloud analytics

Data interpretation

Communication

Org skills

Independent work

Education

Bachelor's degree

Tools

SAS

R

Python

Azure Databricks

Job description

Fortrea is seeking a Real World Evidence (RWE) Programmer to join a sponsor-dedicated team supporting a global pharmaceutical partner. This is a fully home-based opportunity.

The role involves serving as a subject matter expert in RWE analytics, analyzing large healthcare databases, and collaborating with RWE Scientists, Epidemiologists, and statisticians to design studies, plan analyses, and interpret results. Strong programming and epidemiology knowledge are required.