IQVIA Advanced Analytics is looking to solve complex business questions for pharmaceutical clients by developing, implementing, managing, and validating statistical-based custom analytics. They aim to optimize products and processes and measure the effectiveness of business decisions using large datasets and advanced technology.
Requirements
- knowledge of statistical, longitudinal, and data mining methods
- Experience with ITC and NMA is a plus.
- programming and statistical models in SAS, R or other software packages.
Responsibilities
- Developing, implementing, managing, and validating statistical-based custom analytics for pharmaceutical client engagements to help answer complex business questions.
- Assisting the IQVIA Real World Insights and Commercial Services teams with use of appropriate data assets, methodologies, statistical techniques and delivery options to meet client information and analyses needs.
- Designing/documenting analytical plans and developing detailed programming specifications for the execution of the analysis plan.
- Coordinating with offshore statistical programmers throughout the project lifecycle to ensure accurate and timely delivery.
- Managing the development work for urgent and/or complex projects requiring programming and statistical models in SAS, R or other software packages.
- Building expertise in cross-platform applications of IQVIA assets with a specialization in longitudinal pharmacy and medical data.
- Contributing to the development innovative methodologies and new offerings.
Other
- A Master's degree in Statistics/Biostatistics, Mathematics, Bioinformatics, or a related field is required; a Ph.D. in these fields is preferred.
- Demonstrated organizational skills necessary to manage a project from concept to completion.
- Ability to work under strict deadlines and handle multiple tasks simultaneously.
- Strongly desired experience in the pharmaceutical industry.
- Mentoring junior team members. Potential for direct people management based on desire and prior experience.
