RWE Biostatistian

Job Title:No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.Junior RWE Statistician/Statistical ProgrammerLocation:Spain (Remote)Job Type:Full-timeAbout the RoleWe are looking for aJunior RWE Statistician/Statistical Programmerto join a dynamic and growing team. This is an exciting opportunity for an early-career professional with a passion forReal-World Evidence (RWE), and biostatisticsto 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 thedesign, execution, and interpretationof real-world evidence studies, including observational research and health outcomes analyses.Performstatistical programming and data analysisusing SAS.Support the development ofstatistical methodologiesand study protocols.Conductdata cleaning, transformation, and quality controlprocedures.Collaborate with cross-functional teams, including clinicians, data scientists, and regulatory experts.Contribute toscientific publications, presentations, and reports .Requirements:Master’s degree or PhDin Biostatistics, Statistics, Epidemiology, or a related field.Minimum of 2 years industry experienceExperience or coursework inreal-world data analysis(e.g., claims data, electronic health records, registries).Proficiency inSASfor statistical analysis and data manipulation.Knowledge ofbiostatistics, epidemiological methods, and study designs .Strong problem-solving and analytical skills.Excellent written and verbal communication skills inEnglish(Spanish is a plus).Ability to workindependently and as part of a teamin a fast-paced environment.Preferred Qualifications:Experience withpharmaceutical or healthcare industryprojects.Familiarity withregulatory requirements and guidelinesfor RWE studies (e.g., EMA, FDA). xsgfvud Knowledge of machine learning techniques for healthcare analytics.#J-18808-Ljbffr