Senior Director of Research & Analytics, Aetion

• PhD in biostatistics, statistics, epidemiology, or related quantitative field
• At least 5 years of relevant experience
• 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
• 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
• Proficiency in R programming language
• Proficiency in Github use
• Experience in people management, or cross-functional team management and decision making
• Excellent oral and written communication skills
• Ability to self-motivate
• Collaborative, flexible, and solution-oriented

Desirable

• As a science-driven healthcare analytics company with a rapidly growing customer base, Aetion is looking for an experienced biostatistician with expertise in biostatistics and/or epidemiologic methods applied to real world data, as well as R programming and managing teams
• As a Senior Director in the Research+Analytics team, you will hold an active people manager role
• As a successful candidate, you will manage a team of R programmers executing analyses for client projects, serve as a statistical/epidemiologic expert in applied research activities, champion methodologic research, and contribute to the development of software product features
• This position will report to the Head of Research+Analytics, Chief Science Office
• Direct and matrixed management of a team of R programmers to ensure the timely delivery of robust analyses for Aetion’s real-world study portfolio, via rigorous code strategy, code review, and quality control review
• Serve as an internal, client (and other stakeholder)-facing expert in statistical and/or epidemiologic methods to support the design and conduct of robust real-world research, including protocol and statistical analysis plan development and ensuring appropriateness of study design, sample size and statistical methodologies proposed
• Autonomously conduct R programming, including data management, interpretation of results, and draft or review of sections relevant to the methods or results for reports or manuscripts
• Support the identification, prioritization, design, and execution of methodological projects and staff training to ensure Aetion’s Science Team is equipped with best practices for robust real-world study design and conduct
• Be active in external thought-leadership as aligned with Aetion’s strategic priorities, such as submission of conference abstracts, authorship of manuscripts, participation in regulatory events, workshops and webinars, etc
• Provide input on the appropriate application and prioritization of analytic product features and support their testing in collaboration with the Product Management and Engineering teams, based on use cases and input from clients and internal scientists
• Maintain knowledge base in statistical and/or epidemiologic methods as applied to observational (real-world) studies
• Support and promote educational activities and knowledge sharing, including development of best practice documents
• Mentor early-career programmers and biostatisticians/epidemiologists in R coding practices and quantitative methods