Clinical Research Assistant

• Basic to intermediate proficiency in SAS programming is required (experience with Base SAS or SAS/STAT). Familiarity with R or Python is a plus. We provide ongoing training for the right candidate.
• Bachelor’s degree in Biostatistics, Epidemiology, Public Health (MPH), Statistics, Health Informatics, or a closely related biomedical/quantitative field.
• 0 to 2 years of experience in clinical research, pharmaceutical industry, or academic research environments (Relevant internships or graduate-level research projects are highly valued).
• Solid understanding of basic statistical concepts and epidemiological study designs.
  Familiarity with clinical trial terminology and data standards (CDISC/SDTM/ADaM) is preferred but not required (training will be provided).
• Exceptional attention to detail and strong analytical mindset.
• Excellent written and verbal communication skills for a remote team environment.
• Strong time-management skills with the ability to handle multiple task deadlines.

Data Management & Analysis: Assist biostatisticians and statistical programmers in analyzing, cleaning, and managing clinical trial database systems.
SAS Programming: Utilize SAS software to generate basic descriptive tables, listings, and figures (TLFs) according to statistical analysis plans (SAP).
Documentation & Compliance: Help draft, review, and organize clinical study documents, ensuring compliance with FDA regulations, ICH-GCP guidelines, and CDISC standards (SDTM/ADaM).
Quality Control: Perform cross-checks and quality control (QC) reviews on datasets and statistical outputs to ensure accuracy and consistency.
Team Collaboration: Coordinate with clinical project managers, data managers, and biostatisticians to support daily trial operations and project timelines.