Machine Learning Research Intern - Summer 2020 (R1108380) in Cambridge, MA at IQVIA™

Date Posted: 2/12/2020

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Cambridge, MA
  • Experience:
    Not Specified
  • Date Posted:
    2/12/2020
  • Job ID:
    R1108380

Job Description

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.

We're looking for those students who are active in machine learning/deep learning areas and 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 research intern 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:

-- Prepare research publications
-- 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.

IQVINTRN

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: R1108380