Data Scientist, BioAdvance (8 Month Fixed Contract)

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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Toronto, Ontario, Canada

Job Description:

We are searching for the best talent for our Data Scientist, BioAdvance position to be in Toronto, Ontario, Canada for a duration of 8 months.

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Purpose: The Data Scientist, Bioadvance will 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.

You will be responsible for:

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 / Requirements:

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.