WELCOME to Aetion! We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Discover and Substantiate applications, powered by the Aetion Evidence Platform, are used to evaluate the safety, effectiveness, and value of medications, delivering better outcomes to patients, medical professionals, and clients. Aetion is headquartered in the US and has expanded throughout Europe with a Research and Development Hub in Barcelona.
DESCRIPTION: You will lead and support the design and execution of multiple projects. You will be a statistics expert in applied research activities, support methodologic research, advance the understanding of novel methods within the organization, and contribute to prioritizing and developing analytic platform features.
RESPONSIBILITIES: Applied Scientific Research Leads and supports the implementation of multiple studies, such as real-world descriptive and comparative studies and studies involving re-analysis of clinical trial data, for biopharma and regulatory agencies as well as other customers.Comfortable testing and implementing novel methodologies from statistical literature.Maintains knowledge base in pharmacoepidemiology, HEOR, and/or biostatistical methods as applied to observational RWE studies, as well as current healthcare databases used in these studies.Supports synthesis and preparation of statistical results for external presentations.Provides methodological support for study design across multiple therapeutic areas.Supports the development of tools for automation, ensuring scalability of the Biostatistics team's analytics capabilities.Implements data processing pipelines and analyses.Supports software product development and validation.Supports and promotes educational activities and knowledge sharing, including developing best practices.Additional Responsibilities Mentors early-career biostatisticians/epidemiologists in quantitative methods.QUALIFICATIONS: Required Qualifications PhD in biostatistics, statistics, epidemiology, or related quantitative field and at least 1 year of relevant experience conducting analytics with secondary real-world data (RWD) sources (e.g., claims, registries).Extensive expertise in the design of observational/epidemiological studies, or relevant experience with clinical trial design and analysis.Extensive expertise in applying biostatistical and causal inference methods to yield decision-grade real-world evidence (RWE) from secondary RWD sources (e.g., claims, registries).Proficient in the R statistical programming language.Excellent communication skills, verbal and written.Proficiency in English is required.Ability to self-motivate.Resilient, collaborative, flexible, and innovative.Experience with Github.Preferred Qualifications Experience working in cross-functional teams.Experience with Databricks and Spark clusters.*We understand not everyone will meet all the above qualifications on day one. As a team of lifelong learners, we encourage you to apply if you are passionate about the role and want to grow your skills. We are excited to meet people who believe in Aetion's mission and can contribute to our team in a variety of ways. This role is located in Barcelona, Spain with a hybrid working schedule.
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