R Programmer, Biostatistics Subject Matter Expert

Summary

Join Aetion, a leading science-driven technology company, as an R programmer specializing in biostatistics and epidemiology for real-world data analysis. This contract position (20-40 hours/week, potential for full-time) involves conducting and reviewing complex longitudinal analyses using R, serving as a statistical expert for clients and stakeholders, aiding in result interpretation, and contributing to robust real-world research. The ideal candidate possesses an advanced degree (PhD or Master's with relevant experience), extensive expertise in observational studies using real-world data, proficiency in R programming and Github, and strong collaborative skills. Compensation is hourly ($75-$100). Aetion is an equal opportunity employer committed to diversity and inclusion.

Requirements

• Advanced degree in Biostatistics, Statistics, Epidemiology, or related quantitative field
• PhD with at least 2 years of relevant experience or Masters with 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
• Ability to self-motivate and work autonomously
• Collaborative, flexible, and solution-oriented

Responsibilities

• Autonomously conduct and review R programming and data management for complex longitudinal analyses
• 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
• Aid in the interpretation of programmed results (e.g., relevant sections of reports or manuscripts)

Preferred Qualifications

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

Benefits

The position is compensated at an hourly rate of $75–$100, based on qualifications and expertise