What are the responsibilities and job description for the Clinical Data Engineer Intern Summer position at Johnson & Johnson?
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.
We are revolutionizing healthcare by leveraging technology, data, and the power of teamwork to overcome the world's most significant healthcare challenges. We are looking for passionate and driven Biostatistics, Programming, and Data Management (BPDM) interns to join our J&J MedTech - Cardiovascular & Specialty Solution Group (CSS) team for a paid summer internship program in Irvine, California. Remote work may be necessary in compliance with public health regulations and will be accommodated.
Life as a J&J MedTech – CSS BPDM Intern
As a J&J MedTech BPDM intern, you will have the opportunity to work with practicing 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.
BPDM interns will 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.
Candidates must be available to work 10-12 weeks from May 2025 – September 2025, fully on site and are required to work full-time or 20 hours per week during that time.
