.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. We've partnered with top biopharma companies and are backed by leading venture capital firms to help increase our medical research and expand our product line. Aetion is headquartered in the US and has expanded throughout Europe with a Research and Development Hub in Barcelona.Aetion and Aetion's leadership are recipients of several prestigious awards:Sabbatical opportunity after five years of employmentDaily in-office lunch stipend and a fully stocked kitchenRelocation to Barcelona supported with external provider services (for qualified candidates w/ EU work authorization)DESCRIPTION:You will lead and support the design and execution of multiple projects. You will be a statistics expert in applied research activities and support methodologic research.RESPONSIBILITIES:Applied Scientific ResearchLeads 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.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.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.QUALIFICATIONS:Required QualificationsMaster biostatistics, statistics, epidemiology, or related quantitative field.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 QualificationsExperience working in cross-functional teams.Experience with Databricks and Spark clusters.PhD in biostatistics, statistics, epidemiology, or related quantitative field.*We understand not everyone will meet all the above qualifications on day one
