Clinical PK Data Analyst - Programming
The Opportunity: Clinical PK Data Analyst
- Programming & Scripting in R:
Write clean, efficient, and reproducible R code for statistical analyses.
Develop and maintain R scripts for data manipulation, statistical testing, and data visualization.
Develop R Shiny applications or R packages to support data mining from databases; familiarity with SQL or APIs is required.
Ensure all code is well documented for future use by the team.
Data Wrangling & Preprocessing:
Collect, clean, and preprocess data from various sources to prepare it for analysis.
Handle missing data, perform data transformations, and ensure data integrity.
Visualization & Reporting:
Create clear and informative data visualizations (e.g., using ggplot2, Shiny) to communicate complex results to non-technical stakeholders.
Documentation & Version Control:
Maintain comprehensive documentation for all code, models, and processes.
Use version control tools (e.g., Git) to manage code changes and collaborate with team members.
Master’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, or a related field.
At least 2-3 years of experience in statistical programming, data analysis, or a related field.
Familiarity with SDTM/ADaM datasets.
Proven experience with R and associated libraries (e.g., dplyr, tidyr, ggplot2, table1, etc.).
Proficiency in data manipulation, cleaning, and transformation techniques using R.
Familiarity with version control (Git, GitHub, GitLab).
Experience with data visualization tools (e.g., ggplot2, Shiny).
Working knowledge of SQL or APIs.
Ability to troubleshoot and optimize complex R code.
Familiarity with large language models (LLM) is a plus.
Strong written and verbal communication skills.
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