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Job Description

AI/ML PhD Intern (Hybrid, Summer 2025)

Wayne, Pennsylvanie R1474416 Hybride

Wayne, Pennsylvanie

POSTULER

Description du poste

AI/ML PhD Intern

We are looking for PhD students (preferably in their senior years) majoring in CS, EE, Stat, Health/Medical/Bio-informatics, Biostat, or similar quantitative areas to join our Advanced Analytics team at IQVIA. As research interns, you will leverage IQVIA’s vast amount of real-world patient-level health data and address exciting and challenging topics such as disease progression modeling, healthcare network analysis, brand optimization, disease detection, phenotyping.

Summary of duty

  • Conduct research work to solve our existing data science problems at IQVIA by leveraging state of art machine learning algorithms.
  • Develop new algorithms 
  • Publish papers to top conferences if there are good research results

Required Skills

  • Concrete understanding of state of art machine learning algorithms, particularly deep learning algorithms.
  • Proficiency in programming languages such as Python, R, C++, etc.
  • Solid programming skills in Python and PyTorch/Keras/TensorFlow (at least one of them).
  • Academic paper writing skills.
  • Interests in applying AI ML to health care industry

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. 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. https://jobs.iqvia.com/eoe

The potential base pay range for this role, when annualized, is $31,900.00 - $53,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
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