Applied AI Scientist – Gen AI for Biopharma in Toronto

Applied AI Scientist – Gen AI for Biopharma in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Advance AI solutions for patients using ML, statistics, and NLP in diverse projects.
  • Company: Sanofi, a leader in biopharma innovation and patient care.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Join a dynamic team in an agile environment focused on innovation.
  • Why this job: Make a real impact on global healthcare with cutting-edge AI technology.
  • Qualifications: Experience in data science, machine learning, and strong collaboration skills.

The predicted salary is between 135000 - 165000 $ per year.

Sanofi is seeking a dynamic data scientist to advance AI-powered solutions for patients worldwide.

You will apply ML, statistical techniques, and NLP to diverse analytics projects, building production-ready models and data products.

The role emphasizes collaboration with engineers and MLOps in an agile environment, with strong focus on data storytelling and impact across business lines.

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Applied AI Scientist – Gen AI for Biopharma in Toronto employer: BioTalent Canada

STEMCELL Technologies is an exceptional employer, offering a dynamic and inclusive work environment at our Burnaby headquarters. As Canada's largest biotech company, we provide competitive salaries, comprehensive benefits, and meaningful career development opportunities, all while fostering a culture of collaboration and innovation among our talented team of scientists and engineers. Join us to contribute to groundbreaking life science research and be part of a company recognized for its leadership and commitment to employee well-being.

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Contact Details:

BioTalent Canada Recruitment Team

We think you need these skills to ace Applied AI Scientist – Gen AI for Biopharma in Toronto

Machine Learning (ML)
Statistical Techniques
Natural Language Processing (NLP)
Data Analytics
Model Development
Data Product Development
Collaboration