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IQVIA Manager, AI Scientist in Cambridge, Massachusetts

Manager, AI Scientist – the role

We're looking for seasoned AI scientists who are passionate about developing next generation machine learning technologies that will have profound impact on medicine and healthcare. Our ambitious machine learning for medicine and healthcare research agenda include but are not limited to

deep phenotyping integrating massive and multimodal health data

interpretable machine learning for disease prediction, subtyping and progression

pharmacovigilance, drug repurposing, and drug discovery from observational data using structured prediction, generative models, etc.

knowledge representation, distillation from multiple aspects of health data

As a machine learning scientist at IQVIA's ACOE, you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data, state of the art hardware such as massive distributed clusters and GPUs, and professional support from domain experts.

Your typical activities might include:

  • Implementing deep learning, machine learning, and data mining algorithms on distributed platform to solve real-world healthcare problems (e.g., disease prediction, risk prediction etc.)

  • Designing new algorithms to find predictive patterns that combine heterogeneous data assets, including electronic medical records, healthcare claims, clinical trial data, and unstructured text data.

  • Automating machine learning algorithms within the production environment.

  • Working with technology teams to support machine-learning algorithms in big data platforms. Supporting customized projects by designing and implementing algorithms and statistical models on related datasets.

Qualifications:

  • A master or Ph.D. degree in computer science or related areas with extensive research/project experience in machine learning, artificial intelligence, data mining, natural language processing, etc.

  • An in-depth understanding of machine learning algorithms and modeling (supervised learning, semi-supervised or unsupervised learning including generative models, transfer learning, optimization, probabilistic graphical models, etc.)

  • In depth experience with Spark/Hadoop and either PyTorch/Tensorflow

  • Experience in Python with additional experience in Java, Scala and/or R.

  • Experience creating production environment data analytics and applications.

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 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com .

IQVIA is an EEO Employer - Minorities/Females/Protected Veterans/Disabled

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.

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.

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