FAQs
What is the duration of the Advanced Analytics Intern position?
The internship requires availability to work for at least 12 months.
What educational background is preferred for this internship?
Candidates should be currently pursuing a bachelor’s degree in computer engineering, Data Science, or a related field.
What technical skills are required for this internship?
Proficiency in programming languages such as Python or R, data analysis tools like SQL, and knowledge of data visualization software like Tableau or Power BI are required. Understanding of AI and Machine Learning concepts is also expected.
Is experience with Generative AI models necessary for this position?
While hands-on experience with Generative AI models and natural language processing is a plus, it is not mandatory.
What kinds of projects will the intern work on?
The intern will work on transformative projects within the healthcare and patient support landscape, focusing on data analytics, AI model development, and enhancing patient support services.
Will the intern work individually or collaboratively?
The intern will collaborate with multi-functional teams to understand business activities and support data strategy initiatives.
What are the primary responsibilities of the intern?
Responsibilities include data collection and analysis, ensuring data governance and compliance, developing dashboards for performance monitoring, and recommending innovative data-driven solutions.
What soft skills are important for this internship?
Strong analytical and problem-solving abilities, excellent verbal and written communication skills, and the ability to work collaboratively in a fast-paced environment are essential.
How can candidates apply for this internship?
Candidates can apply by submitting their resume and a cover letter detailing their interest and relevant experience.
Is Johnson & Johnson an equal opportunity employer?
Yes, Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer, offering equal consideration for employment without discrimination based on various factors.