Regulatory & Medical Affairs - Data Analyst

Clinical Safety Analytics AssociateClinical Safety Analytics Associate will play a critical role within the PV CoE. This position focuses on assisting with analyzing data and deriving insights from clinical and safety data sources to generate evidence and support decision making across the organization. The Associate will leverage a variety of analytics and visualization techniques to contribute to research, clinical development, drug safety and post-marketing activities.Roles & Responsibilities:Collaborates and works closely with cross-functional teams, including data analysts/engineers and business stakeholders, to understand their needs and gather requirementsCleans, transforms and pre-processes data to ensure data quality, consistency and compatibility for analysisDevelops and implements data analysis plans to answer clinical and safety questionsApplies analytical and/or statistical techniques to analyze data and generate insights on safety questionsVisualizes data and results to share insights with technical and non-technical cross-functional stakeholdersInterprets and communicates findings through reports, presentations and visualizationsStays up to date and compliant with the regulatory landscape related to drug safety and data analysesWorks closely with PV CoE and other stakeholders, sharing knowledge and best practices within the broader safety and analytics teamsSkills & Competencies:Strong understanding of data sources, such as clinical trial data, electronic health records, and other healthcare databasesProficiency in data pre-processing, cleaning and transformation techniques to ensure data quality and compatibility for analysisKnowledge of relevant analytical and statistical methodologies, such as regression analysis, survival analysis etc.Excellent problem-solving skills and the ability to derive meaningful insights from complex real-world data setsExcellent communication and presentation skills to effectively convey complex concepts and findingsAbility to work collaboratively in cross-functional teams and manage multiple projects simultaneouslyStrong attention to detail and accuracy in data analysis and interpretationExperience:Bachelor's or Master's (preferred) degree in a relevant field, such as Biostatistics, Analytics, Engineering or related discipline.Minimum of 3-5 years of experience in data analysis, statistical modeling, and data visualization, preferably within the biopharma or healthcare industry.Experience applying statistical and analytical techniques, to analyze real world dataExperience with Python or R or SAS and SQL requiredWorking knowledge of visualization tools, such as Tableau or Power BI is preferredExperience or familiarity with the biopharma industry