Description
The IQVIA Injury Surveillance and Analytics (ISA) team is hiring an Epidemiology Research Associate. As a member of the ISA team, you will assist with data governance, including data management, curation, quality, and organization, as well as implementing automation and process improvement.
Responsibilities:
- Leads comprehensive data management tasks, data quality control processes, and data cleaning for client projects.
- Builds and manages automated reports and data listings.
- Contributes to building out automated, repeatable tasks.
- Incorporates AI technology to improve efficiency and repeatability.
- Prepares and contributes to drafting of sections of study documents, analytic reports, and development of slides for client meetings with the review and guidance of Program Lead.
- Organizes and helps manage research projects.
- Project management, formatting and quality review of final deliverable.
- Provides support to project team where needed and acts as a resource for internal team members.
- May be asked to conduct ad hoc analytics and contribute to in-depth scientific research questions in a fast-paced environment.
- May contribute to the development of high-quality proposals for new projects.
- May contribute to the development of best practices in epidemiology and observational research and other internal initiatives.
Requirements:
- Bachelor's degree with 3 years relevant education and experience.
- Master's degree in public health, epidemiology, data science, biostatistics, outcomes research, health economics or a relevant scientific field and 1 year relevant experience.
- Sound methodological training in epidemiology, biostatistics, outcomes research, data science or related area relevant to observational research.
- Exceptional attention to detail, ability to think critically, and effectively prioritize and manage multiple tasks.
- Strong oral and written communication skills.
- Microsoft Office suite proficiency and ability to efficiently format deliverables to client-ready products.
- Ability to establish and maintain effective working relationships with co-workers, managers, and clients in a global and matrixed environment.
- Ability to work independently, both under supervision and as a contributing team member.
- Must be proficient in SAS or R. Familiarity with Python preferred.
- Experience incorporating AI or other technologies to automate and streamline processes.