Remote Clinical Trial Feasibility Analyst

IQVIA; Durham (NC); Remote; USD 88,000 - 221,000; Full time

Job summary

IQVIA is seeking an experienced Clinical Data Analyst to join our Advanced Analytics group within the Clinical Data Science department. This role focuses on data analytics for a pharmaceutical client, including feasibility, design optimization, and site selection across trials.

A minimum of 3 years of experience in clinical trial operations is required. The ideal candidate will be proficient in Python and SQL, comfortable with cloud environments (AWS or DataBricks preferred), and able to present

Qualifications

• Bachelor's or Master's degree in data science, engineering, computer science, statistics or machine learning.
• 3+ years of relevant experience in supporting operational feasibility, design, and analytics of clinical trial operations.
• Strong proficiency in Python and SQL for data querying, aggregation, and analysis.

Responsibilities

• Support Clinical Operational Strategy by using Python and SQL to query, aggregate, analyze, and derive results from clinical trial operations data.
• Collaborate with clinical study teams to understand analytics needs, perform analyses, and report tailored results with minimal oversight.
• Develop, maintain, and enhance models, tools, and visualizations to support ongoing or planned clinical trials.
• Ensure data quality and integrity through all work.
• Communicate complex analytical findings clearly to technical and non-technical stakeholders.

Skills

Python

SQL

Cloud AWS/DataBricks

Communication

Data analysis

Education

Bachelor's or Master's in data science/related field

Job description

IQVIA is seeking an experienced Clinical Data Analyst to join our Advanced Analytics group within the Clinical Data Science department. This role focuses on data analytics for a pharmaceutical client, including feasibility, design optimization, and site selection across trials.

A minimum of 3 years of experience in clinical trial operations is required. The ideal candidate will be proficient in Python and SQL, comfortable with cloud environments (AWS or DataBricks preferred), and able to present