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 SASfor 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.