Associate Director, HEOR Statistics

Join us on our exciting journey!

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

The IQVIA Advanced Analytics team is one of the leading healthcare analytical teams in the world.  Joining the AA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment.  We seek highly motivated people who truly want to make a difference in the life sciences industry.  At IQVIA, we look for the very best people, and then give them meaningful work to do. We don’t simply think about careers, we think about contributions.

Those who choose to work with us are joining a recognized global leader — a company uniquely positioned to help clients make the most of market opportunities and respond to challenges that affect global healthcare. We’re committed to blending industry expertise and advanced technology to deliver the most accurate perspectives and in-depth analytics on healthcare dynamics.

Role Purpose:

Provides support in applying statistical methodologies to assigned research projects.

Principal Accountabilities:

• Provides statistical methodology support in the delivery of standard and custom studies.
• Applies statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study and assists in preparing written summaries of study results.
• Works as part of a team in preparing analysis plans and statistical reports and performs validation of statistical analysis. Works on projects of limited scope within defined procedures and practices.

Minimum Education, Experience & Specialized Knowledge Required:

• PhD with 3-5 years experience or Master’s degree with 5-10 years experience in Statistics, Mathematics, Epidemiology or related field; additional experience should be in operations research, market research, or applied statistics.
• Technical knowledge/skills include: regression analysis, sampling, and basic knowledge of SAS programming languages in both PC and mainframe environments.
• Experience with Health Economics Outcomes Research*
• Ability to carry out high level analysis and information gathering to resolve problems on non-routine matters.
• SAS & SQL required.
• Python, R and/or SQL are preferred.
• Previous management/leadership experience desired.