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Sanofi

Principal Data Scientist

Posted 14 Hours Ago
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In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
The Principal Data Scientist at Sanofi leads in machine learning and advanced analytics, driving data-centric product development and overseeing cutting-edge analytical approaches while mentoring junior colleagues.
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R2809740  Principal Data Scientist

Department: Data Science and Applied AI, EDGE

Location: Downtown Toronto, ON, Hybrid (3 days a week onsite)

About the Job

Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people’s lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.

Sanofi’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.

We are seeking a Principal Data Scientist to provide expertise in modeling and data analytics to support various projects, including predicting disease onset using non-traditional data and approaches. This role involves employing advanced analytical and computational methods to drive data-centric and evidence-based product development.

We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.

Main Responsibilities:

Leadership:

  • Provide scientific and technical leadership in machine learning and AI.

  • Act as a subject matter expert in machine learning, statistical modeling, and mentoring junior colleagues.

  • Champion advanced analytics results to non-technical audiences.

Innovation and Program Development:

  • Employ cutting-edge analytical approaches to drive digital, data, and pharmaceutical product development.

  • Develop computational and statistical methodologies for advanced analytics.

Operational Oversight:

  • Work closely with other disciplines across Sanofi to deliver cutting-edge analysis to key business questions.

  • Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modeling, simulation, text-mining/NLP, and data-mining.

Cross-functional Collaboration:

  • Collaborate with internal and external data scientists to scope and execute advanced analytics projects.

  • Support the implementation of patient support strategies alongside other Sanofi teams.

About You

  • Minimum bachelor's degree (Master's/PhD preferred) in Statistics, Data Science, Mathematics, or related quantitative field.

  • 6+ years (MS/PhD) or 8+ years (BS) experience in analytics, coding (Python, R, SQL), and statistical analysis.

  • Proficiency in advanced ML techniques, big data analytics platforms, and high-level ML libraries.

  • Experience with large-scale data structures, Vertical Federated Analytics, and prototyping in high-level languages.

  • Knowledge of NLP technologies and data visualization tools.

  • Software development experience in digital technology.

  • Excellent written and spoken English communication skills

Preferred Qualifications:

  • 7 years of work experience using analytics to solve product or business problems.

  • Experience with biomedical data types, population health data, real-world data, or novel data streams relevant to the pharmaceutical industry.

Why Choose Us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

This position is for a new vacant role that we are actively hiring for.​

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SG  ​
 #LI-GZ
#LI-Remote

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

$105,200.00 - $151,933.33

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

La fourchette salariale pour ce poste est la suivante:

$105,200.00 - $151,933.33

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.

Top Skills

Big Data Analytics
Machine Learning
Natural Language Processing
Python
R
SQL

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