Data Science Summer Intern

Job Title:  Data Science Summer Intern

Division / Function: Research and Development 

Location: Cambridge, MA

Job Summary 

Ipsen is a leading global biopharmaceutical company committed to improving lives through innovative medicines in Oncology, Rare Disease, and Neuroscience. As part of our mission, we are seeking motivated undergraduate students to join our summer internship program at our Cambridge, MA office. This program offers a unique opportunity to gain hands-on experience in a dynamic, purpose-driven organization that values collaboration, innovation, and impact.  

Our Data, Digital, Analytics and AI team is focused on driving impactful outcomes using Real-World Data (RWD) and cutting-edge technologies like Generative AI (GenAI) to support decision-making and scientific advancements.  

We are seeking a motivated and detail-oriented undergraduate Data Science Intern to join our DDAAI team. The intern will play a crucial role in leveraging Real-World Data (RWD) and Machine Learning techniques to drive Evidence Generation and/or applying advanced text processing techniques using Generative AI to extract insights from unstructured medical data such as clinical notes, literature, etc. This internship offers a unique opportunity to work on high-impact projects that support medical and scientific innovations. 

This program is an excellent opportunity for individuals to gain broad and meaningful work experience that will prepare them for a successful career in the biotech and/or pharmaceutical industry. Successful candidates will have a passion for improving lives through innovative medicines and an educational or experience background in science and business.   

We will not consider graduate students (MBA, MS, PharmD, etc.) or undergraduate students graduating before December 2026. Qualified candidates are Juniors graduating in May/June 2027 and Seniors expected to graduate in Dec 2026.

We are also not providing housing support, so students will need to provide their own housing over the course of the 11-week program.   

Main Responsibilities

• Collaborate with cross-functional teams to process and analyse Real-World Data (RWD) from various sources (e.g., EHRs, clinical data, claims data) 
• Utilize Natural Language Processing (NLP) and Generative AI techniques to extract insights from unstructured text (e.g., clinical notes, scientific articles, post-engagement notes) 
• Support the development of AI models to automate literature searches, summarize scientific findings, and identify emerging trends 
• Assist in creating dashboards and reports that visualize key insights from RWD and AI models for internal stakeholders 
• Participate in brainstorming sessions to enhance text processing capabilities and data-driven decision-making 
• Present your findings and insights in a clear, concise manner to both technical and non-technical audiences 

Knowledge & Experience: 

• Currently pursuing a degree in Data Science, Computer Science, Statistics, Biomedical Informatics, or a related field 
• Strong interest in healthcare and medical data analysis, with a passion for applying data science to solve real-world challenges 
• Experience with programming languages such as Python or R, particularly for data analysis and NLP 
• Familiarity with machine learning and Generative AI models, especially in the context of text processing (e.g., BERT, GPT) 
• Strong analytical and problem-solving skills, with the ability to work with complex datasets 
• Basic understanding of Real-World Data (RWD) and its applications in healthcare is a plus 
• Excellent communication skills, both written and verbal, with the ability to explain technical concepts to a broader audience 
• Rising senior pursuing a bachelor’s degree 
• 3.0 GPA is a minimum requirement  
• Must be eligible to work in the U.S.  
• Fluency in English is required. French and other European languages are an asset