Clinical Trials Feasibility Analyst
| Company | IQVIA |
|---|---|
| Location | San Francisco, CA, USA, Durham, NC, USA |
| Salary | $88300 – $220900 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in a field related to data science, engineering, computer science, statistics, or machine learning. Relevant working experience can be considered in lieu of a degree.
- 5+ years of relevant experience in supporting the operational feasibility, design analytics, and analytics of clinical trial operations. Less years of working experience can be considered if the individual can commit to a hybrid work schedule onsite in South San Francisco.
- Strong proficiency in both Python and SQL for data querying, aggregation, and analysis.
- Experience working at a Clinical Research Organization or Pharmaceutical company conducting study feasibility and site selection analytics required
- Strong skills in Excel and PowerPoint.
- Demonstrated ability to engage and work with clinical study teams to understand their needs and deliver results.
- Strong communication skills, with the ability to communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
- Ability to author e-mails summarizing key KPI’s or insights and putting together slides to summarize the results of 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 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.
- 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 in a clear and concise manner to both technical and non-technical stakeholders.
Preferred Qualifications
- Cloud experience (such as by using AWS or DataBricks) is preferred but not required.