Job Url: https://www.remoterocketship.com/company/aetion/jobs/r-programmer-biostatistics-subject-matter-expert-united-states Job Description: Aetion Website LinkedIn All Job Openings Aetion is a company that specializes in generating real-world evidence (RWE) for healthcare decision-making. It offers software solutions and services that enable life sciences developers, regulators, and healthcare purchasers to understand how medical innovations work in the real world. By providing expertise in real-world data strategy, data asset synthesis, and regulatory and scientific services, Aetion helps accelerate the creation and acceptance of RWE standards. Their platform facilitates critical decision-making in healthcare by offering analytics across multiple datasets, aimed at improving healthcare outcomes and efficiency. 201 - 500 employees Founded 2013 βš•οΈ Healthcare Insurance 🧬 Biotechnology R Programmer - Biostatistics Subject Matter Expert May 30 πŸ‡ΊπŸ‡Έ United States – Remote ⏳ Contract/Temporary 🟑 Mid-level 🟠 Senior πŸ–₯ Software Engineer πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ As a science-driven healthcare analytics company with a rapidly growing customer base, Aetion is looking for an experienced R programmer with expertise in biostatistics and/or epidemiologic methods applied to real world data. 🎯 Requirements β€’ Advanced degree in Biostatistics, Statistics, Epidemiology, or related quantitative field. β€’ PhD with at least 2 years of relevant experience or Masters with at least 5 years of relevant experience. β€’ Extensive expertise in the design and conduct of descriptive, prediction, and causal inference observational/epidemiological studies using secondary sources of real-world data, such as administrative claims, electronic health records, and disease registries. Experience in the clinical trials space may meet this requirement. β€’ Expertise in processing of raw real-world data files (especially from secondary sources) to obtain analysis-ready datasets, such as engaging with data from multiple tables, stringing data to create drug durations, applying complex algorithms (for example, creating pregnancy episodes), etc. β€’ Proficiency in R programming language. β€’ Proficiency in Github use. β€’ Ability to self-motivate and work autonomously. β€’ Collaborative, flexible, and solution-oriented. β€’ Extensive expertise in the design and conduct of descriptive or inferential observational/epidemiological studies using secondary sources of real-world data to address key questions in healthcare and pharmacoepidemiology. Apply No