Contact :Neisha Camacho / Terra Parsons - teamnt@penfieldsearch.comNo 3rd party candidatesJob Summary :Our client is seeking an experienced R Programmer / Biostatistician who can operate at the intersection of data engineering and biostatistics.This role requires someone who thrives in modern data environments -- including PostgreSQL and Databricks -- and understands how R fits into that ecosystem for analytics, simulation, and modeling.You'll be joining a collaborative team working on clinical trial simulations, study design, and data wrangling efforts.The ideal candidate combines hands-on programming ability with statistical acumen, helping to structure and streamline complex, messy back-end data to support analytical workflows.Key ResponsibilitiesBuild and run clinical trial simulations to support study design decisions.Perform advanced data wrangling, cleaning, and transformation in R and PostgreSQL.Work across modern data platforms (Databricks, PostgreSQL, etc.) to integrate, query, and prepare datasets.Develop reproducible, well-documented R code for modeling, analysis, and reporting.Leverage Seql (Posit's new AI-assisted R / Python tool) to accelerate analysis and automate code generation.Collaborate with biostatistics, data science, and engineering teams to optimize workflows and improve data accessibility.Support onboarding and integration of new team members into R-based and database environments.Required Skills & ExperienceFluency in R for programming, data manipulation, and simulation.Strong SQL experience (preferably PostgreSQL) for querying and data integration.Proven experience with clinical trial simulations, adaptive / study design, or statistical modeling.Expertise in data wrangling and structuring messy datasets for analysis.Comfort working in modern data ecosystems (e.g., Databricks, cloud data warehouses, pipelines).Excellent documentation and communication skills, with a collaborative, problem-solving mindset.Nice to HaveFamiliarity with Seql (Posit's AI-assisted R / Python tool).Experience in biostatistics, clinical research, or pharma / biotech environments.Exposure to Bayesian simulation, Monte Carlo modeling, or reproducible R workflows (e.g., R Markdown, Quarto).Ideal Candidate ProfileThis role is perfect for someone who sits between a data engineer and a biostatistician -- an independent problem solver who can connect analytical goals with the technical backbone needed to achieve them.You'll thrive if you're comfortable in R, fluent in SQL, and excited to explore emerging tools that make working with data faster, smarter, and more intuitive.$75-$100 hourly W2 / $85-$110 hourly 1099, commensurate with experience. Experience: 3 years required