About the Job

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

The AI innovation for antibody (AI4Ab) group within Sanofi Large Molecule Research Department is seeking a highly talented Data Scientist for a Co-op position.  We use leading-edge AI/ML and computational modeling tools to support different biologics project needs from Sanofi’s multi-targeting, multi-modality research pipeline. Our team has a great track record of patents and publications in the area of AI/ML for antibody-related applications. This intern position will focus on developing a machine learning approach to design novel protein/peptide binders, given 3D structure of a target, by combining in-depth understanding of structure biology and datasets from internally and externally. The successful candidate will have an advanced understanding and practical experience with developing and applying complex machine learning solutions for structural biology data. 

**At this time, Sanofi will not sponsor a new applicant for employment authorization or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). ** 

Responsibilities:  

• Interact closely and be part of interdisciplinary antibody engineering and data science teams to drive effective decision-making by mining and developing generative models  

• Extract new knowledge and disruptive insights from the large and rich body of data collected internally and externally. 

• Develop and implement methods for extracting patterns and correlations from diversified data sources using cutting edge computation and data science toolkits.  

• Keep ahead of scientific literature and interact with internal and external scientists to integrate novel data science technologies

About you 

Basic Qualifications:  

• Currently pursuing a bachelor's degree or higher in data science, artificial intelligence, machine learning, deep learning, computer sciences, bioinformatics, mathematics, computational biology, or related field with the expectation that you will complete your current degree by the Spring 2027

• 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 for the full duration of the internship/Co-op  

• Must have permanent US work authorization 

Preferred Qualifications:  

• Working knowledge of structural biology and antibody discovery is a plus  

• Fluent programming with Python (or R), preferably in Linux and high-performance computing environments  

• Hands on experience with data analysis software such as Spotfire or similar 

• Familiar with the foundational concepts in molecular biology and biochemistry  

• In-depth experience with modern and classical methods used in artificial intelligence. 

• Excellent written and oral communication skills 

• Passion to collaborate with others, self-development with a focus on scientific know-how, and sharing knowledge externally as publications or conference presentations. 

Term of employment: 14 weeks 

About Sanofi: 

Every day, Sanofi's 100,000 employees are committed to improve the lives of people around the world, with sustainable and responsible solutions and initiatives. Sanofi is recognized as one of the leading biopharmaceutical companies in the world and is pioneering innovation in biologics with the first approved nanobody drug, the first clinical stage tri-specific antibody, and a novel genetic codon expansion platform for new engineering capabilities. Details of the organization and the company’s mission and goals can be found on our website (http://www.sanofi.us/l/us/en/index.jsp). 

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 and at least 14 weeks’ gender-neutral parental leave.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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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!

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.