AResearch Consultant (RC)in our Berlin office will be responsible for conducting real-world evidence (RWE) studies, for example retrospective database studies, targeted & systematic literature reviews including subsequent analyses such as NMA or endpoint validation, and strategic projects with our clients from the pharmaceutical industry. The role is associated with day-to-day tasks in project conduct/management as well as client communication.

Personal Skill & Competencies

• Designing and performing statistical analyses (using e.g. Stata, SPSS, R) for example descriptive analysis, regression analysis and propensity score matching, to answer complex RWE research questions.
• Developing project deliverables in German/English to (near) completion (documents, reports, protocols, tables, literature reviews, etc.) pending the final decision by our senior staff.
• Good understanding of data management tasks for e.g. patient selection, variable creation, analytical dataset creation.
• Developing abstracts and manuscripts as author/co-author.
• Advanced experience with MS-Office (PowerPoint, Word, Excel, Outlook), which are appropriately adjusted to the characteristics and needs of the audience.
• Demonstrated ability to communicate complex content effectively in English, incl. experience in presenting ideas, analyses and/or results in a formal presentation setting.
• Excellent organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and accomplish multiple work goals in a timely fashion.
• Proactive and positive approach to tasks and projects, as well as resilience when encountering process, project, budget or client changes that are inherent to the consulting environment.

Requirements

• Master’s degree in Pharmacology, Biochemistry, Health Economics, Epidemiology, Public Health, Biostatistics, Demographics, or Business Administration, or similar required.
• 2-3 years work experience in consulting environment as well as experience in in project management is appreciated.
• Demonstrated experience in quantitative methods (in health economics), health service research, epidemiology or statistics with focus on data analysis using observational data.
• Knowledge on the general health organization in Germany / Europe is appreciated.
• Knowledge of scientific research methods and practical research implementation.
• Experience in MS Excel, and statistics programs (e.g. Stata, SPSS, R).
• Fluent in German desired.

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