RWE Biostatistian

Job Title : Junior RWE Statistician / Statistical Programmer

Location : Spain (Remote)

Job Type : Full-time

About the Role

We are looking for a Junior RWE Statistician / Statistical Programmer to join a dynamic and growing team. This is an exciting opportunity for an early-career professional with a passion for Real-World Evidence (RWE), and biostatistics to contribute to meaningful healthcare research.

As a key member of our analytics team, you will work closely with statisticians, epidemiologists, and data scientists to analyze large real-world datasets and generate insights that support healthcare decision-making.

Key Responsibilities :

• Assist in the design, execution, and interpretation of real-world evidence studies, including observational research and health outcomes analyses.
• Perform statistical programming and data analysis using SAS.
• Support the development of statistical methodologies and study protocols.
• Conduct data cleaning, transformation, and quality control procedures.
• Collaborate with cross-functional teams, including clinicians, data scientists, and regulatory experts.
• Contribute to scientific publications, presentations, and reports .

Requirements :

• Master’s degree or PhD in Biostatistics, Statistics, Epidemiology, or a related field.
• Minimum of 2 years industry experience
• Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries).
• Proficiency in SAS for statistical analysis and data manipulation.
• Knowledge of biostatistics, epidemiological methods, and study designs .
• Strong problem-solving and analytical skills.
• Excellent written and verbal communication skills in English (Spanish is a plus).
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications :

• Experience with pharmaceutical or healthcare industry projects.
• Familiarity with regulatory requirements and guidelines for RWE studies (e.g., EMA, FDA).
• Knowledge of machine learning techniques for healthcare analytics.