Clinical Trials Feasibility Analyst

IQVIA•Durham, NC

3d•$88,300 - $220,900•Hybrid

About The Position

Our IQVIA team is seeking to hire an experienced Clinical Trials Feasibility Analyst to join an Advanced Analytics group within the Clinical Data Science department. Join this team dedicated to a Pharmaceutical client, focused on efforts in study feasibility analytics. The ideal candidate will have 5+ years of relevant experience supporting clinical trial operations as a data analyst on tasks such as study feasibility, design optimization and site selection. Previous experience supporting these types of analytics for clinical trials is required.

Requirements

Bachelor's or Master's degree in a field related to data science, engineering, computer science, statistics or machine learning. Working experience can be considered in lieu of a degree.
5+ years of relevant experience in supporting the operational feasibility, design, and analytics of clinical trial operations.
Experience working at a Clinical Research Organization or Pharmaceutical company conducting study feasibility and site selection analytics.
Strong skills in Excel and PowerPoint.
Moderate proficiency in both Python and SQL for data querying, aggregation, and analysis.
Experienced in real-world data modalities such as Medical Claims, Electronic Health Record data.
Experience communicating country, site, investigator, patient insights, KoL insights and other analysis to clinical trial teams.
Solid understanding of clinical development process is expected.

Nice To Haves

Less years of working experience can be considered if the individual can commit to a hybrid work schedule onsite in South San Francisco.

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 their analytics needs, perform analyses, and report back with tailored results with minimal oversight.
Work with real-world data modalities such as Medical Claims, Electronic Health Record data.
Use tools or SQL databases to get data and then format and communicate it in a way that study teams can understand the insights.
Ensure data quality and integrity through all work.
Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.