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.