Clinical Data Analyst

Job Title: Clinical Trial Data Analyst (Remote / Onsite - Princeton, NJ)

Contract Duration: 6+ Months

Location: Remote (Preference for candidates local to Princeton, NJ who can work onsite as needed)

Job Overview:

We are seeking a highly skilled Clinical Trial Data Analyst to support the operational feasibility, design, and analytics of clinical trial operations. This position involves working closely with cross-functional clinical teams to provide data-driven insights to optimize trial execution, site selection, and performance metrics.

Key Responsibilities:

• Conduct feasibility assessments, site selection analytics, and study performance evaluations for clinical trials.
• Perform data querying, aggregation, and analysis using Python and SQL.
• Develop models that simulate clinical trial scenarios using Monte Carlo or other statistical techniques.
• Utilize real-world data (RWD), including medical claims and electronic health records, to support trial planning.
• Work with databases such as Citeline for trial benchmarking and study intelligence.
• Present insights and findings clearly through Excel dashboards and PowerPoint presentations.
• Collaborate with Clinical Operations and Data Science teams to provide recommendations and strategic input.

Required Qualifications:

• Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, Statistics, or Machine Learning (experience may substitute for education).
• 5+ years of experience in clinical trial analytics within a CRO or pharmaceutical company.
• Strong understanding of clinical trial design, execution, and regulatory environment.
• Proficiency in Python and SQL for data analysis.
• Advanced skills in Excel and PowerPoint for data visualization and reporting.
• Experience in modeling complex scenarios with multiple variables and outcomes (Monte Carlo Simulations preferred).
• Familiarity with real-world data sources such as medical claims and EHRs.
• Experience using clinical trial databases (e.g., Citeline) is a plus.