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Senior Biostatistician Lead
hace 2 meses
Aetion is a global leader in science-driven technology, utilizing real-world evidence to provide innovative healthcare solutions. Our Discover and Substantiate applications, powered by the Aetion Evidence Platform, evaluate the safety, effectiveness, and value of medications, delivering better outcomes to patients, medical professionals, and clients.
Job SummaryWe are seeking a highly skilled Senior Biostatistician Lead to lead and support the design and execution of multiple projects. As a statistics expert in applied research activities, you will support methodologic research, advance the understanding of novel methods within the organization, and contribute to prioritizing and developing analytic platform features.
Key Responsibilities- Lead and support the implementation of multiple studies, including 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.
- Maintain a 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.
- Support synthesis and preparation of statistical results for external presentations.
- Provide methodological support for study design across multiple therapeutic areas.
- Support the development of tools for automation, ensuring scalability of the Biostatistics team's analytics capabilities.
- Implement data processing pipelines and analyses.
- Support software product development and validation.
- Support and promote educational activities and knowledge sharing, including developing best practices.
- 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.
- 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.
- 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.
- Experience working in cross-functional teams.
- Experience with Databricks and Spark clusters.
