Epidemiologist Health Analysis
2 weeks ago
Contract Duration: 12 months
Company: [Global Pharma]
Flexible (Remote)
About Us: a leading global pharmaceutical company committed to improving healthcare through innovation. We specialize in developing and delivering high-quality medicines that make a real difference to patients' lives worldwide. Our dedication to research and development, coupled with our passion for excellence, drives us to continuously push the boundaries of what's possible in healthcare.
Position Overview: We are seeking a highly skilled and motivated Real World Evidence Epidemiologist to join our team on a 12-month contract basis. In this role, you will play a pivotal role in generating real-world evidence to support the development, regulatory approval, and post-marketing activities of our pharmaceutical products. You will collaborate with cross-functional teams to design and implement epidemiological studies using real-world data sources.
Design and conduct epidemiological studies using real-world data to address research questions related to the safety, effectiveness, and utilization of our pharmaceutical products.
Develop study protocols, analysis plans, and statistical analysis methods for observational studies.
Analyze large healthcare databases to generate insights into disease patterns, treatment patterns, and outcomes.
Collaborate with internal and external stakeholders, including clinicians, statisticians, and data scientists, to ensure the quality and validity of study results.
Stay abreast of developments in real-world evidence methodologies, epidemiology, and healthcare databases to inform study design and analysis approaches.
D. degree in Epidemiology, Biostatistics, Public Health, or a related field.
Proven experience designing and conducting epidemiological studies using real-world data in the pharmaceutical or healthcare industry.
Proficiency in statistical analysis software (e.g., SAS, R, STATA) and experience with large healthcare databases (e.g., claims data, electronic health records).
Strong understanding of epidemiological methods, study design, and statistical analysis techniques.
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