Advanced Analytics Intern - BioAdvance

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/.

Overview:

BioAdvance is seeking a highly motivated Advanced Analytics Intern to support our efforts in advancing analytics through Generative AI, Machine Learning, and related expertise. This internship program offers an outstanding opportunity to gain hands-on experience in cutting-edge technologies and provide opportunity to work on transformative projects within the healthcare and patient support landscape.

Key Responsibilities:

Collaborate with Multi-Functional Teams:

• Work with multi-functional teams to understand business activities and support data strategy initiatives.
• Translate data insights into actionable strategies to enhance program efficiency and patient satisfaction.

Data Collection and Analysis:

• Collect, clean, and analyze patient-related data to identify trends, patterns, and insights.
• Leverage artificial intelligence techniques, statistical methods, and data visualization tools to present findings clearly.
• Assist in developing and training models to predict patient outcomes and improve support services.
• Partner with data scientists to implement AI models and ensure their integration into business processes.

Data Governance and Compliance:

• Ensure data integrity, security, and compliance with relevant regulations (e.g., PIPEDA) in collaboration with the data governance council.

Innovative Solutions:

• Stay updated on emerging trends and technologies in data analytics and healthcare.
• Identify and recommend innovative approaches to leverage data for enhancing patient support services.

Performance Monitoring:

• Implement key performance indicators to monitor the effectiveness of patient support initiatives.
• Develop dashboards and reports to track program performance.

Qualifications:

Education:

• Currently pursuing a bachelor’s degree in computer engineering, Data Science, or a related field.

Technical Skills:

• Proficiency in programming languages (such as Python, R) and data analysis tools (such as SQL).
• Experience with data visualization software (like Tableau, Power BI) is a plus.
• Understanding of AI and Machine Learning concepts and techniques.
• Understanding and hands-on experience working with Generative AI models, including understanding of natural language processing. Experience with building chatbots is an asset.

Analytical Skills:

• Strong analytical and problem-solving abilities with attention to detail.
• Ability to interpret sophisticated data and communicate findings to non-technical partners.

Communication Skills:

• Excellent verbal and written communication skills.
• Ability to work collaboratively in a fast-paced, multifaceted environment.

Additional Attributes:

• Passion for using data to drive insights and improve patient outcomes.
• Eagerness to learn and adapt to new technologies and methodologies.
• Self-motivated with a proactive approach to tasks and projects.
• Availability to work for at least 12 months

Application Process:

If you are passionate about advancing analytics through AI and Machine Learning, and eager to work on meaningful projects in healthcare, we invite you to apply for this exciting internship opportunity. Join us in making a significant impact on patient support services through data-driven innovation.

To Apply:

Please submit your resume and a cover letter detailing your interest and relevant experience

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.