Johnson and Johnson Clinical Data Science Electrophysiology-Biostatistics Internship-PAID

Description

The Johnson and Johnson Clinical Data Science Electrophysiology-Biostatistics Internship is open to students pursuing a PhD degree in biostatistics or statistics, mathematics, computer science, data science, machine learning, or a related discipline. To be considered for this role, you should have a minimum GPA of 2.8 and be detail oriented, highly organized, self-motivated, and able to work both independently and as part of a team. Additionally, you should demonstrate strong analytical, quantitative, and programming skills and should have proficiency in at least one of the following languages: R, SAS, or Python. As an intern, you will have the opportunity to work with statisticians and data engineers to learn about statistical and data science applications specific to clinical or nonclinical settings in medical devices. You will support projects in areas that range from clinical studies, post marketing studies, Real World Evidence registry studies, and concurrently, participate in working groups such as the Statistical Methodology/Consulting Working Group, Machine Learning Working Group, RWE/Publication Support Team, and R, Python, SAS User Groups. You will be also be involved in various activities, including data preparation, graphical exploration of data, statistical model building and analysis, report writing, and writing of computer programs or software applications associated with the participated projects. Other activities may include designing experiments, conducting simulations to evaluate optimal designs, and participation in methodological development. This internship is offered in Irvine, CA.