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 Qualificat