Overview
On Site
Full Time
Skills
Data Manipulation
Visualization
Quality Control
Regulatory Compliance
Standard Operating Procedure
Data Processing
Statistics
Computer Science
Biostatistics
SAS
PROC SQL
R
Data Analysis
CDISC
SDTM
Clinical Trials
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Job Details
Responsibilities:
- Develop and maintain SAS programs to import, clean, and validate clinical trial data.
- Use R for data manipulation, analysis, and visualization.
- Perform statistical analyses in accordance with study protocols and analysis plans.
- Generate tables, listings, and figures (TLFs) using SAS and R.
- Create and QC statistical outputs and clinical study reports for regulatory submissions.
- Document programming activities and ensure compliance with Standard Operating Procedures (SOPs).
- Work closely with biostatisticians, data managers, and clinical researchers.
- Provide programming support for ad-hoc analysis requests and exploratory data analyses.
- Perform rigorous quality checks on all deliverables.
- Maintain annotated datasets and ensure traceability of data processing.
- Bachelor's or master's degree in Statistics, Computer Science, Biostatistics, or a related field.
- Minimum of 3 years of clinical SAS programming experience, with a strong background in R.
- Proficiency in SAS and R, including data step programming, PROC SQL, and R packages for data analysis.
- Experience with CDISC standards (SDTM, ADaM).
- Knowledge of clinical trial processes and regulatory requirements (e.g., FDA, EMA).
- Strong analytical and problem-solving skills.
- Excellent communication skills, both written and verbal.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.