Manager, Artificial Intelligence / Machine Learning (AI/ML) and Forecasting – Toronto, Ontario, Canada

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Description

Johnson & Johnson is recruiting for a Manager, Artificial Intelligence / Machine Learning (AI/ML) and Forecasting, located in Toronto, Ontario, Canada.

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/.

For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges.

We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential.

At Johnson & Johnson, we all belong.

As Johnson & Johnson Innovative Medicine (JJIM) and the Data and Analytics Centre – Canada (DAC) move into a future of Augmented (Artificial) Intelligence “AI” – there is a significant increase in the demand for leadership aligned to this initiative. This leadership role will be a blend of AI strategy supporting the pillars of Financial Forecasting, Omnichannel analytics, strong statistical acumen and solid understanding of coding to support these initiatives

Key Responsibilities:

• AI Strategy – Act as subject matter expert for AI to AI Governance and Director(s) of DAC and Digital Engagement Center (DEC)
• Coding – AI / ML – Hands on Keyboard (HOK) – Building and Testing AI-ML Models
• Build and Maintain AI infrastructure (ie AWS Redshift or Similar environment)
• Financial Forecasting – Building and Testing Statistical “Driverless” Models
• AI – Supporting Omni Channel Analytics – Building and Testing AI-ML Models

Qualifications

• Undergraduate/Bachelors Degree in Health Sciences, Analytics, Business, Computer Science, or other related field, is required. Additional advanced education (Masters, Professional Certifications) is an asset.
• Minimum 8 years relevant work experience (academic or industry) in advanced analytics, insights generation and data management is required.
• Experience within the healthcare industry is an asset.
• Advanced knowledge of Python to support AI/ML and advanced analytics is required.
• Experience with C++ / JavaScript / Java / C# / R are beneficial.
• Experience developing and optimizing machine learning model(s) including: Linear or Logistic Regression / Discriminant Analysis, is required
• Experience with Classification and Regression Trees / Naive Bayes / K-Nearest Neighbors (KNN) / Learning Vector Quantization (LVQ) / Support Vector Machines (SVM) are beneficial.
• Experience Extracting, Transforming and Loading (ETL) data pipelines that process, clean up and store data, data analytics and predictions is required.
• Experience performing exploratory data analysis, summary (descriptive) statistics for a dataset is required.
• Advanced knowledge and expertise in leveraging pharma industry syndicated data (IQVIA) and patient support program data is an asset.
• Strong communication and presentation skills including the ability to communicate complex information clearly and concisely to senior leadership are required.
• Strong project management skills with the ability to focus on accurate, results-focused work and prioritizing multiple demands is required.
• Experience working within the AWS environment for AI Infrastructure, Statistical Analysis and Data Engineering is strongly preferred.
• This position is located in Toronto, Canada and may require up to or less than approximately 10% travel.

Diversity and inclusion are central elements of the shared culture across the Johnson & Johnson Family of Companies. Attracting, developing and retaining a workforce that reflects the diversity of our customers and communities is essential to our success. We are committed to providing a respectful, inclusive and accessible work environment where all employees have the opportunity to achieve their potential.

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.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.

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