Big Data Technology, Deep Learning, PySpark, Python Programming, R Programming, XGBoost
We are looking for a creative, innovative, intellectually curious and entrepreneurial Machine Learning Engineer to join our Analytics & Artificial Intelligence (A&AI) Machine Learning Engineering team. This is an exciting opportunity to join one of the world's leading human data science teams, working with real-world insights to help our clients answer specific questions globally, make more informed decisions, and deliver results. If you are a Data Scientist interested in developing data engineering and machine learning tools and solutions at the forefront of life sciences, you will be in great company with this highly regarded team of experts! The primary focus of the role is to develop ML solutions on highly complex, large-scale medical data to predict answers to healthcare challenges.
Ideally you will have:
Bonus points for:
The Team:
Our team is a rapidly growing group of collaborative, enthusiastic, and entrepreneurial individuals! In our relentless pursuit to find ways to leverage the value of Real World Evidence (RWE), we are at the center of IQVIA's advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, underdiagnosis of rare diseases, personalized profiles for treatment response, prediction of disease progression, and clinical decision support.
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. 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.
IQVIA, formerly Quintiles and IMS Health, Inc., is an American multinational company serving the combined industries of health information technology and clinical research.
Waynesboro, PA, USA
2-4 year
Wayne, PA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Durham, NC, USA
0-2 year
Parsippany-Troy Hills, NJ, USA
0-2 year