Job Description

Johnson & Johnson Innovative Medicine (JJIM), is recruiting for a Data Scientist in Green Belt Dr, Toronto, Canada.At the Johnson & Johnson Innovative Medicine of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.The Johnson & Johnson Innovative Medicine of Johnson & Johnson provide medicines for an array of health concerns in several therapeutic areas. Our ultimate goal is to help people live healthy lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners, from clinics to hospitals. For more about the Pharmaceutical Companies of Johnson & Johnson, visit: http://www.janssenpharmaceuticalsinc.com/.The Commercial Data Sciences & Data Management team within Johnson & Johnson Innovative Medicine is looking for an extraordinary scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients and for Johnson & Johnson. There are many ways to explore and analyze data, and this powers the excitement and passion of data scientists at Innovative Medicine as many business units are eager to use the data to build business value.In this role you will be someone who stays on the cutting edge of artificial intelligence, data science and advanced analytics research through novel project execution and development of algorithms that influence decisions at various levels in the organization, including but not limited to omnichannel sales and marketing optimization, patient/payer analytics, commercial strategy, and relate commercially-focused model development. The role requires both a broad knowledge of existing AI-type algorithms and the creativity to invent and customize when necessary. You will lead and deliver projects and develop solutions that in turn deliver insights. You will work with matrixed teams across business and technology, and be part of a dynamic, accomplished organization that will support multiple therapeutic areas and commercial functions.
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+ PhD, or MSc with 3 years, or BSc with 5 years of relevant work experience, in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology, or a related field.
+ Strong understanding of statistical analysis, machine learning techniques, and algorithms.
+ Experience with data manipulation and visualization libraries (e.g., pandas, Matplotlib, seaborn).
+ Hands-on experience with Python or R, and SQL or Pyspark.
+ Strong working knowledge of machine learning platforms/environments.
+ Strong communication skills and ability to communicate complex methods and results to diverse audiences.
+ Proven track record of publishing relevant predictive modelling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
+ Significant experience in the modeling of complex datasets in applied business and/or scientific application domains.
+ Must have understanding and the ability to interpret ML, quantitative methods applied to real-world data.
+ Ability to understand, shape, and measure the business value of solutions, while managing competing stakeholder priorities and ambiguity.
+ Enthusiastic about building on and learning new methods and ways to use real-world data to change the practice of medicine.
Preferred Qualifications:
+ Familiarity with large datasets, handling of healthcare relevant datasets (EMR/EHR, registry, insurance claims), and understanding of data analysis workflows.
+ Experience implementing AI driven solutions:
+ Practical experience in applying machine learning algorithms and models (e.g., regression, classification, clustering, neural networks)
+ Cloud infrastructure (AWS and/or Azure) and model deployment
+ Leveraging both structured and unstructured data
+ Familiarity with open-source and gated/paid model landscape
+ Building end-to-end LLM powered solutions that drive business value
+ Experience working in pharmaceutical or biotech industry with strong knowledge of commercial business process.
At Johnson & Johnson, we\'re on a mission to change the trajectory of health for humanity. That starts by crafting the world\'s healthiest workforce. Through groundbreaking programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.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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