Associate Data Science Director, Statistics

What You’ll Be Doing:

• Lead methodology support and oversee development, implementation, management, and validation of statistical modeling and data analysis for the IQVIA US syndicated patient data offerings. Responsibilities include methodology support for the offerings during live production process to solve issues and market events, providing methodology support to client contract renewals, and new methodology development
• Provide leadership in assisting the offering development and production teams on data investigations, methodology presentations, providing input to client communications, and liaising with internal stakeholders on the impact of data and methodology changes  
• Develop innovative methodologies and new offerings. Conduct research related to methodology enhancements to existing offerings as well as new patient offerings
• Manage a team of data scientists and statisticians, and collaborate closely with project managers throughout the project lifecycle to ensure accurate and timely delivery
• Managing the development work for complex projects requiring data science and statistical models in Python, R, or other software packages
• Drive development of strategic plan and ensure appropriate resource management, talent development and team performance

What We’re Looking For:

• Bachelor’s/Master’s/Ph.D. degree or equivalent in Statistics, Data Science, Epidemiology, Health Economics, or related field with a strong focus on quantitative analysis and Machine Learning solutions
• A minimum of 8 years for MSc. /Ph.D., or 11 years for BSc., of relevant experience with large healthcare databases and systems. Extensive experience working with patient longitudinal data is required
• Experience with team leadership and people management required
• Ability to provide thought leadership in healthcare data analytics and recommend business directions and plans
• Ability to influence business decisions and communicate and collaborate with stakeholders on matters of strategic importance 
• Extensive experience using statistical programming languages (SQL, Python, R and/or SAS) to manipulate data and build statistical models. Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Impala, Spark, etc. is preferred
• Strong ability to solve complex problems and develop innovative approaches to meet business needs
• Excellent written and verbal communication skills. Strong interpersonal skills and ability to work collaboratively across teams
• Experience visualizing/presenting data for internal stakeholders and clients. Comfortable presenting data and findings to internal and external audiences

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™.

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

IQVIA, Inc. provides reasonable accommodations for applicants with disabilities.  Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.