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RWE Biostatistian

RWE Biostatistian

Barrington James Limitedmadrid, madrid, España
Hace 1 día
Descripción del trabajo

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.

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    Rwe • madrid, madrid, España