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2025 Summer-Fall Co-op - Machine Learning/Quantitative Pharmacology

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Sanofi

26d ago

  • Internship
    Full-time
    Placement Program
  • Data
    Healthcare
  • Cambridge

AI generated summary

  • You must be a PhD student in a STEM field, able to work full-time, relocate, have US work authorization, and be familiar with machine learning, Python, and global teamwork.
  • You will develop machine learning models, analyze preclinical and clinical data, and collaborate with the QP team to support drug prioritization and decision-making in R&D.

Requirements

  • Must be currently enrolled in a PhD program in Engineering, Computer Science, Mathematics or related STEM field at an accredited University.
  • Must be enrolled in school the semester following your internship/co-op with Sanofi.
  • Must be able to relocate to the office location and work 40 hrs./week, Monday-Friday, for the full duration of the internship/co-op
  • Must have permanent US work authorization
  • Familiarity in developing dynamical (mathematical) and statistical/machine learning models.
  • Familiarity with Large language models, Natural Language Processing, Neural Networks and Deep learning framework.
  • Proficiency in Python and relevant libraries.
  • Ability to work in a matrix and in a global environment.
  • Good written, presentation and verbal communication skills are essential.

Responsibilities

  • The scope of responsibility will involve aiding the group in the development of machine learning (ML) models to support drug prioritization and improve understanding of drug target interaction, drug disease association and drug safety.
  • In support of these activities, the successful incumbent should be able to analyze and interpret preclinical and clinical data including real world data and be part of the QP team that develops modeling and simulation approaches to support critical decision making in drug research.
  • The QP group supports multiple therapeutic areas and research platforms within the broader R&D organization.

FAQs

What is the job title for this position?

The job title is 2025 Summer-Fall Co-op - Machine Learning/Quantitative Pharmacology.

Where is the location of the job?

The job is located in Cambridge, MA.

What is the main purpose of this co-op position?

The main purpose of the co-op position is to aid in the development of machine learning models to support drug prioritization and improve understanding of drug target interaction, drug disease association, and drug safety.

What are the basic qualifications required for this position?

The basic qualifications include being currently enrolled in a PhD program in Engineering, Computer Science, Mathematics, or a related STEM field, being enrolled in school the semester following the internship, the ability to relocate to the office location and work 40 hours/week, and having permanent US work authorization.

What programming language is primarily used in this role?

Proficiency in Python and relevant libraries is required for this role.

Are there any preferred qualifications for this co-op position?

Yes, preferred qualifications include familiarity with dynamical models, statistical/machine learning models, large language models, natural language processing, neural networks, deep learning frameworks, and good communication skills.

What type of work environment can a co-op expect at Sanofi?

A co-op can expect to work in a matrix and global environment with support from a future-focused team.

Will I have opportunities for career growth while in this position?

Yes, there are numerous opportunities to grow your talent and advance your career, whether through promotions or lateral moves within the company.

Does Sanofi offer benefits for health and wellbeing?

Yes, Sanofi offers a wide range of health and wellbeing benefits, including high-quality healthcare, prevention and wellness programs, and at least 14 weeks of gender-neutral parental leave.

Is Sanofi an equal opportunity employer?

Yes, Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.

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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.