IQVIA Principal Engineer, Machine Learning, ACOE in Cambridge, Massachusetts
As a Principle Engineer of Machine Learning you will develop fit-for-purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon the completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables.
Test for viability in order to deliver final products to clients.
Bring newly researched ideas to reality quickly and on a large scale.
Design, build, test, and deliver products from post-prototype to client delivery.
Oversee the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
Develop features of models on individual projects and/or products with guidance and support from others
Gain understanding around the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
Build and train others on new production grade algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which machine learning models and applications can be developed
Use a variety of techniques in order to improve the performance of individual natural language processing and/or machine learning algorithms
Manage the testing and validation of models to determine viability for deployment with guidance and support from others
Oversee the creation of fit for purpose experiments and prototype ideas to address pharma questions
Consult with internal and external clients
Lead solution development & innovation for highly complex proposals
Run point on client AI project technical delivery
Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
8-10 years’ experience working on creating machine learning algorithms
Programming experience using one or more of the following: Java, C++, Python, R, Go, Kubernetes, Deep learning or equivalent
Experience working with large, real world datasets
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 firstname.lastname@example.org to arrange for such an accommodation.
IQVIA is a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare – and human health – forward. Together with the companies we serve, we are enabling a more modern, more effective and more efficient healthcare system, and creating breakthrough solutions that transform business and patient outcomes.
To get there, it takes diverse skills and a curiosity to explore new possibilities. No matter your role, everyone at IQVIA, including our colleagues at Q² Solutions, contributes to our shared goal of improving human health. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
- IQVIA Jobs