Summer / Fall 2026 Co-op / Intern - RNA Bioinformatics Co-op - Vaccines

Job Title : Summer / Fall 2026 Co-op / Intern - RNA Bioinformatics Co-op - Vaccine

Location : Waltham, MA

About the Job

As an RNA Bioinformatics Intern, you will work in the areas of cheminformatics, bioinformatics, computational biology, and machine learning to the task of developing and implementing first-in-class and best-in-class computational solutions and models for screening, optimizing and evaluating lipid nanoparticles or RNA molecules for mRNA-based vaccines and therapeutics as part of the Data and Computational Science team in the mRNA CoE. This team brings end-to-end data integration and advanced analytics (pre-clinical, biomarkers, process development, CMC, clinical) in the mRNA CoE. Deploying and exploiting digital solutions (AI / machine learning, data, analytics) to integrate the full data value chain, extracting actionable information for a move to a full data driven strategy and decision-making process, to increase probability of success and to accelerate mRNA vaccines and therapeutics development and launch.

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

Main Responsibilities :

Collaborate with group experts in the development and execution of the scientific strategy and technical solutions to develop best-in-class mRNA vaccines and therapeutics

Execute development of a project to deliver data and computational solutions for the integration of chemical, structural, and biological data to support data analytics and visualization

Collaborate internally to develop scientific hypotheses and drive new scientific insights based on computational frameworks

Develop computational pipelines (e.g., with Nextflow, Snakemake, or WDL) for a variety of Research and Development applications, with particular focus on in vitro and in vivo mRNA screening assays; next-generation sequencing (NGS) data and analysis; and the design, assembly, and quality control (QC) of pDNA and mRNA vaccines and therapeutics

Create compelling visual representations of data and analytics results in support of presentation, communication, and decision-making needs for key stakeholders

Provide support for experimental results using data analytic and / or machine learning techniques

Maintain a well-documented, reusable codebase, and traceable model history

Maintain awareness of latest developments in relevant fields, evaluate and apply as warranted

Demonstrate good software engineering practices

Proactively identify, assess, and internalize emerging technologies and methods

About you

Basic Qualifications :

Currently enrolled and pursuing a master’s degree or, PhD in Bioinformatics, Computational Biology, Computer science, or related quantitative disciplines at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2028

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 green card) 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

Have experience and a basic understanding of different types of NGS assays

Experience with NGS data / statistical analysis, with a preference for topics such as exploratory analysis and -omics data (e.g., ribosome profiling)

Experience with one or more common data analysis and visualization platforms (e.g., R, RShiny, Python / pandas) and bioinformatics packages (Bioconductor, Biopython, etc.)

Preferred Qualifications :

Experience with machine learning, such as development of regression / classification models and deep learning models, is preferred but not required

Familiarity with cloud and parallel computing

Comfortable engaging with stakeholders from a variety of backgrounds and working collaboratively towards a common goal

Adept at communication and adaptation

Willing to train individuals and teams on your areas of expertise and on systems you build

Fluency in English; Fluency in French is a plus

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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