Senior Data Scientist

4 hours ago


Toronto, Ontario, Canada Johnson & Johnson Innovative Medicine Full time US$100,000 - US$2,000,000 per year

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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Toronto, Ontario, Canada

Job Description:

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  

We are searching for the best talent for Senior Data Scientist

Purpose: 

The Commercial Data Science team within J&J Innovative Medicine Technology organization is looking for an extraordinary Senior Data Scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for J&J. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at J&J as many business units are eager to use the data to build business value. 

You will be responsible for: 

In this role you will be someone who stays on the cutting edge of Machine Learning, Artificial Intelligence, and Data Science. You will conduct research through novel project execution and development of algorithms that influence decisions at various levels in the organization. The role requires both a broad knowledge of NLP techniques, Machine Learning and AI, and the creativity to invent and customize when necessary. As a Senior Data Scientist, you will be a key player in advancing our data science capabilities and driving impactful decision-making across the organization. You will take charge of complex projects from conception to delivery, ensuring the highest quality and alignment with business objectives. You will provide mentorship and guidance to junior data scientists, fostering their growth and development within a dynamic, accomplished organization that supports multiple therapeutic areas and commercial functions. 

Qualifications / Requirements: 

  • PhD or Masters with 2+ years of industry experience in Data Science, Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, or a related discipline. 

  • Strong working knowledge of machine learning platforms/environments. 

  • Strong working knowledge of machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models. 

  • Proficiency with one or more programming language such as Python, R, SQL. 

  • Experience delivering on data science projects using predictive technologies, data mining and/or text mining. 

  • Strong communication skills and ability to communicate complex methods and results to diverse audiences.  

Preferred Qualifications: 

  • Working knowledge of commercially available healthcare data sets. 

  • Strong working knowledge of machine learning platforms/environments and experience implementing AI driven solutions:

Other:

  • This position is based at our following location: Toronto, ON, Canada. 

#LI-Hybrid #JNJDataScience #JNJIMCommercial-DS   

Required Skills:

Decision Trees, Machine Learning Algorithms

Preferred Skills:

Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis
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