Biologics Data Core (Large Molecule Research)- Summer 2026 Intern

Job Title: Biologics Data Core (Large Molecule Research)- Summer 2026 Intern

Location: Cambridge, MA

About the Job

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

Are you ready to take the lead in transforming scientific breakthroughs into life-changing medicines? Join our R&D-driven, AI-powered biopharma company as we advance our leadership in immunology, oncology, neuroscience, and rare blood disorders. Learn more about biologics data management and drug discovery as part of the Biologics Data Core team, where we're building foundational data systems to empower cutting-edge AI and ML capabilities to accelerate the journey from discovery to patient impact, going further and faster to transform millions of lives.

In this internship, you'll assist in improving the connection between our cutting-edge laboratories and our advanced information systems. You'll learn how to help researchers access and utilize the wealth of data generated across our organization, contributing to the efficiency of our scientific processes. As a member of the Biologics Data Core team, you will be tasked with supporting projects related to data foundation, governance, systems and advanced applications for the Large Molecule Research (LMR) group projects and its component teams specializing in Molecular Biology; Antibody Discovery; Protein Engineering and Production and Characterization.

You'll have the opportunity to dive into the drug discovery process, explore machine learning applications in pharmaceutical research, and hone practical skills in gathering requirements from scientists. You'll develop expertise in generating technical documentation, review data processing pipelines to understand how scientific data flows through the organization and gain valuable experience training other scientists on industry-leading data registration platforms. This internship combines scientific understanding with technical skills, allowing you to apply your academic knowledge to real-world challenges while building connections with professionals across disciplines.

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?

Main Responsibilities:

• Review, configure and utilize templates, visualizations, and data upload tools for Genedata Biologics, Pipeline Pilot, Spotfire and other data registration, pipelining, and analysis tools
• Document tool and process utilization to a sufficient standard for current and new users of the informatics platform
• Create intuitive and user-friendly guides for scientists to capture, update and investigate their data
• Reviewing and addressing feedback and support related to informatics platform utilization
• Generating proof-of-concept prototypes for data processing and automation
• Working with scientists to resolve data management challenges

About You

Basic Qualifications:

• Currently enrolled and pursuing a bachelor's or master's degree in computer science, life sciences, or related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 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 40hrs/week, Monday-Friday, for the full duration of the co-op/internship
• Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or ) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
• Familiarity with basic immunology and antibody therapeutic concepts

Preferred Qualifications:

• Fluency in SQL
• Experience with a data pipelining application (eg Biovia Pipeline Pilot, Knime)
• Experience working with biological registration systems (eg: Genedata Biologics / Benchling) or LIMS in general.
• Experience with a variety of scientific analysis and BI software packages (eg Genedata Screener / Spotfire)
• Proficiency with Microsoft Office or similar software
• Strong organizational abilities, time management skills
• Excellent verbal and written communication skills, especially related to documentation and technical guidance

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.
• Exposure to cutting-edge technologies and research methodologies.
• Networking opportunities within Sanofi and the broader biotech community.

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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