Data Science Intern

Full time

Employment Information

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Job Description:

The data science team is supporting data analytics for process development activities. Typically, biologic processes generate a lot of experimental data that require application of machine learning (ML) to help extract novel insight about the process.

In this role you will work with the scientists in the lab to access, extract, prepare and analyze the data generated from their experiments and propose suggestions to optimize the productivity and the quality of the process.

This internship will also provide opportunities to support the assessment of large language models (LLM) to analyze scientific literature in order to leverage existing published knowledge in expert areas. You will assess the best approach to query external sources of information and provide guidelines to scientists to improve on their use of Generative AI/LLM.

Basic Qualifications:

  • Pursuing a Degree in Data Science, Mathematics, Chemistry, or Biology etc.
  • Experience using programming languages such as Python, or R
  • Working knowledge of data analytics, machine learning
  • Must enroll in INROADS program

Preferred Qualifications:

Experience with Bioprocessing unit operations or chemistry

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.

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

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