Clinical PK Data Analyst - Programming

The Opportunity: Clinical PK Data Analyst

We are seeking a highly skilled clinical PK Data Analyst with proficiency in R and SQL programming to join the Clinical Pharmacology team within the Nonclinical Development and Clinical Pharmacology (NDCP) organization. The ideal candidate will leverage expertise in R and SQL programming to mine the databases for drug-drug interaction (DDI) and exploratory analyses. This role involves working with diverse clinical datasets and relational databases.

As a PK Data Analyst, you will be responsible for data mining through direct database access or APIs, data wrangling, and report generation.

Required Skills, Experience And Education:

Duties & Responsibilities:

• 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.
  

Required Skills, Experience And Education

• 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.
  
  

Preferred Skills:

• Ability to troubleshoot and optimize complex R code.
• Familiarity with large language models (LLM) is a plus.
• Strong written and verbal communication skills.