Use our `search` to find similar offers.
Associate Director, Data Management and Analytics
IQVIA Holdings Inc.
Durham, North Carolina
Q2 Solutions is a leading clinical trial laboratory services organization with end-to-end laboratory services and secure, enterprise-wide biospecimen and consent management solutions. With a relentless focus on quality and innovation, Q2 Solutions uses its global experience and scientific expertise to transform science and data into actionable medical insights that help customers improve human health. A joint venture of IQVIA (formerly QuintilesIMS) and Quest Diagnostics, Q2 Solutions combines the best of each parent organization’s clinical trials laboratory services capabilities to fulfill its mission of treating each sample as if a life depends on it.
Lead, shape and grow high profile machine learning products at the cutting-edge of life science. The primary focus of the role is to design and oversee the delivery of machine learning products, such as developing algorithms to find undiagnosed patients with rare conditions. Most projects have an important research component, so a strong academic background is preferable (the role includes opportunity to publish and participate in academic conferences).
• Product Development - Working closely with software engineers, system architects and data scientists to build automated and scalable routines / libraries
• Business Development - Supporting business development initiatives, including technical support for client pitches, proposal writing and thought leadership (includes publications, presentations at academic conferences, client workshops, etc.).
• Ph.D. Or
• Master's Degree
• Extensive experience leading the design and delivery of advanced statistical / machine learning projects in the commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and writing reports / manuscripts.
• Experience with patient-level, longitudinal data.
• Proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently.
• Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, Neural Networks, etc.
• Strong experience with software development lifecycle
• Strong programming skills in Python and/or R. Experience with pySpark, SparkR or Scala.
• Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape.
• Knowledge of healthcare patient-level data
• Experience with deep learning
• Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
• Knowledge of healthcare / life science issues involving Real-World Evidence
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.
Job posted: 2021-05-19
