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Computational Scientist

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Sanofi

Nov 2

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Research & Development
  • Toronto
  • Quick Apply

AI generated summary

  • You must have hands-on AI/ML experience, coding skills in Python/R, cloud familiarity, and strong teamwork and communication abilities. An advanced degree and life sciences knowledge are preferred.
  • You will develop and implement ML methods for large-scale biomedical data, create deep learning models for small molecules, and collaborate to deliver AI solutions and production-ready models.

Requirements

  • Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
  • Expertise within many of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series analysis, Bayesian statistics, optimization.
  • Experience developing deployable code and deploying models in product-focused development under an agile environment.
  • Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).
  • Experience in production-ready software development.
  • Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
  • A demonstrated ability to work and collaborate in a team environment.
  • Strong interest in the use of ML methods in the life and medical sciences to improve patient lives.
  • Nice to have: Experience in life sciences and healthcare and experience in a complex global organization.
  • Bachelor's degree in computer science, machine learning, computational biology, computational chemistry, mathematics or a related quantitative discipline with strong coding skills. Advanced degree (MS/PhD) preferred.
  • Expertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL).
  • Disciplined AI/ML development (CI/CD, Orchestration).
  • Experience with various enterprise-level Application Programming Interfaces (APIs).

Responsibilities

  • Develop, implement, test and refine advanced ML methods for the processing, analysis, modeling integration and visualization of large-scale biomedical and chemical data.
  • Develop deep learning models for small molecule design
  • Apply data science expertise in machine learning, statistics, NLP, forecasting and optimization to multiple analytics projects.
  • Build models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the art machine learning technologies.
  • Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready models.
  • Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data products.
  • Work with developers, engineers, and MLOps to deliver AI/ML solutions to product teams.

FAQs

What is the job title for this position?

The job title is Computational Scientist.

Where is the location for this job?

The job is located in Toronto, Ontario.

What department is this position under?

This position is under the Unstructured Data Search department.

What are the main responsibilities of a Computational Scientist at Sanofi?

The main responsibilities include developing and implementing advanced ML methods, building deep learning models, applying data science expertise to various analytics projects, and delivering production-ready AI/ML solutions.

What kind of experience is required for this role?

Candidates should have hands-on AI/ML modeling experience, expertise in various machine learning techniques, experience with deployable code, and familiarity with cloud computing environments.

Is experience in life sciences and healthcare preferred for this position?

Yes, experience in life sciences and healthcare is a nice-to-have but not mandatory.

What educational qualifications are needed?

A Bachelor's degree in computer science, machine learning, computational biology, computational chemistry, mathematics, or a related quantitative discipline is required, with an advanced degree (MS/PhD) preferred.

What programming languages should candidates be familiar with?

Candidates should be experienced with core data science languages such as Python and R, as well as different database systems like SQL and NoSQL.

Are applicants required to notify their manager if they are internal candidates?

Yes, internal applicants are required to notify their manager of their application.

Does Sanofi have a commitment to diversity and inclusion?

Yes, Sanofi is committed to diversity and inclusion and aims to attract, develop, and retain highly talented employees from diverse backgrounds.

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Sanofi

Science & Healthcare
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.