Remote RWE Data Scientist

The Fountain Group; Illinois; Remote; USD 80,000 - 120,000; Full time

Job summary

A leading company is seeking a highly skilled RWE Data Scientist/Analyst for a contract position that focuses on analyzing healthcare data to inform business and medical decisions. The role involves designing projects, developing statistical models, and communicating findings effectively to cross-functional teams. Ideal candidates should have a Master's or PhD and experience with Python, SAS, or R, alongside a deep knowledge of healthcare analytics.

Qualifications

• More than 10 years’ experience will be considered overqualified.
• Expertise in Python, SAS, or R required.
• Familiarity with epidemiology and clinical research studies.

Responsibilities

• Design, plan, and execute data analysis projects using real-world healthcare data.
• Develop clinical algorithms and statistical models to support study outcomes.
• Communicate analytical findings to stakeholders.

Skills

Statistical Analysis

Healthcare Data Analysis

Communication

Python

SAS

R

Education

Master’s or PhD in public health, health outcomes, statistics, or epidemiology

Job description

Details for the positionare as follows:

• 2 year contract to start with the possibility of extension or conversion depending on performance and budget.
• Rate: 1-2 years $45-51 / 3-5 years $52-63 / 5-10 years $64-82

Job Description:
We are seeking a highly skilled and curious RWE Data Scientist/Analyst with expertise in statistical analysis and healthcare data to support evidence generation efforts. The ideal candidate will bridge the gap between programming and epidemiologic study design to inform business and medical decisions. You’ll work with real-world data (RWD)—such as claims, EMRs, and clinical registries—to identify care gaps, measure medical impact, and support strategic priorities across therapeutic areas.

• Design, plan, and execute data analysis projects using real-world healthcare data.
• Develop and apply clinical algorithms and statistical models to support study outcomes.
• Communicate analytical findings to cross-functional stakeholders in a clear and engaging way.
• Serve as a subject matter expert for RWE analytics within your assigned therapeutic area.
• Standardize code and processes to ensure analytical efficiency and scalability.
• Partner with Medical Engagement, HEOR, and other stakeholders to frame questions, align study designs, and translate business needs into actionable analyses.
• Identify appropriate data sources and collaborate with internal/external partners to drive execution.
• Lead or support the development of data dictionaries, analysis plans, and reports.

Required Skills:

• Master’s or PhD in public health, health outcomes, statistics, or epidemiology. More than 10 years’ experience will be considered overqualified.
• Used at least two of these tools: Python, SAS, or R.
• Know how to analyze healthcare data—especially real-world data like insurance claims, electronic medical records, or clinical outcomes.
• Familiar with how clinical research studies are designed (epidemiology basics).