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Form of workAt Johnson & Johnson, 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.Qualifications
- C andidates are currently pursuing a Bachelor, Master, or PhD degree in Biostatistics or Statistics, Mathematics, Computer Science, Data Science, Machine Learning, or a related discipline.
- Candidates must be available to work 10-12 weeks from May 2024 - September 2024 and are required to work full-time or 20 hours per week during that time.
- Candidates must be legally authorized to work in the United States, as Permanent Residents or United States Citizens, and not require sponsorship for employment visa status (e.g., H1-B status).
- Candidates must be detail-oriented, highly organized, and able to manage multiple tasks.
- Candidates must be a self-motivated and have the ability to work independently as well as collaboratively with a team.
- Ability to demonstrate strong analytical, quantitative, and programming skills is required.
- Proficiency in at least one of the following languages SAS, R, or Python is preferred.
- Excellent communication, presentation, and leadership skills are preferred.
