Machine Learning Scientist (R1098428) en Cambridge, MA de IQVIA™

Fecha de publicación 10/26/2019

Resumen de la oferta

Descripción del trabajo

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

Machine Learning Scientist

Location: Cambridge, MA

We're looking for research 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 here, you'll get to work on the most cutting-edge and exciting projects. You'll 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.

Our ideal candidate will have:

  • Master's or PhD degree in computer science or related areas with focus on machine learning, artificial intelligence, data mining, natural language processing.
  • 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.

Join Us

Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.

Forge a career with greater purpose, make an impact, and never stop learning.

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.



Job ID: R1098428